Freelancers using PostgreSQL in Delhi

Freelancers using PostgreSQL in DelhiFreelancers using PostgreSQL in Delhi

Projects People

AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

116: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for Bento Station's Commission-Free Delivery Suite

Bento Station's Commission-Free Delivery Suite

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Cover image for Dashboard for Restaurant Delivery System | Bento Station

Dashboard for Restaurant Delivery System | Bento Station

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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162

Cover image for Billing Crow

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81

proNew Delhi, India

AI Agent Developer & Engineer | MCP, LLM apps, automation

1x: Hired

5.0: Rating

60: Followers

AI Agent Developer & Engineer | MCP, LLM apps, automation

Cover image for Orbyt: a curated network for people building in healthcare

Orbyt: a curated network for people building in healthcare

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3

Cover image for Dispatchly (formerly SchmoozeAI): outbound voice AI for India

Dispatchly (formerly SchmoozeAI): outbound voice AI for India

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2

Cover image for Regenix: patient and operations workflow modernisation

Regenix: patient and operations workflow modernisation

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12

Cover image for India Pharma Hub

India Pharma Hub

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15

Jagwinder Singh

Full Stack Developer

20: Followers

Full Stack Developer

Cover image for Development of a Scalable Food Delivery App

Development of a Scalable Food Delivery App

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7

Cover image for Multi-Vendor E-Commerce Marketplace
Designed and developed

Multi-Vendor E-Commerce Marketplace Designed and developed a scalable multi-vendor e-commerce marketplace connecting customers, sellers, and administrators through a unified platform. Overview A modern marketplace platform built for multiple independent vendors, allowing sellers to manage products, inventory, orders, pricing, and fulfillment, while customers can discover products, compare options, purchase securely, and track their orders. Key Features - Multi-vendor seller registration and onboarding - Seller dashboards with products, inventory, orders, and sales - Advanced product catalog with categories, variants, attributes, and pricing - Powerful search, filtering, sorting, and product discovery - Product details, reviews, ratings, wishlist, and saved items - Shopping cart and secure checkout - Multiple payment methods and automated vendor payouts - Order management and real-time order status - Customer accounts, addresses, order history, and tracking - Vendor storefronts and profiles - Promotions, coupons, discounts, and featured products - Admin dashboard for users, vendors, products, orders, payments, and commissions - Vendor commission and revenue management - Responsive design across desktop, tablet, and mobile - Scalable architecture prepared for large product catalogs and growing traffic UX & Design The interface was designed around a clean, conversion-focused shopping experience inspired by leading marketplaces such as Amazon, eBay, Wayfair, etc. The focus was on intuitive navigation, fast product discovery, clear product information, frictionless checkout, and dedicated experiences for both buyers and sellers. Outcome Delivered a complete marketplace foundation designed to support multiple vendors, thousands of products, secure transactions, automated workflows, and scalable business operations.

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Cover image for AI Agent Tutor Mobile App
An

AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.

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160

Cover image for Employee Productivity Monitoring System
Built a

Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.

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196

Expert Native Android Dev, UI/UX Designer & Backend Engineer

5.0: Rating

2: Followers

Expert Native Android Dev, UI/UX Designer & Backend Engineer

Cover image for SupportSync SDK

SupportSync SDK

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13

Cover image for Fluentify-app

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38

Cover image for Notification System

Notification System

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15

Cover image for MiStepCount

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24

Full-Stack Developer & UI/UX Designer | Mobile Apps

New to Contra

Full-Stack Developer & UI/UX Designer | Mobile Apps

Cover image for SEPMS: Smart Energy Portfolio Management System

SEPMS: Smart Energy Portfolio Management System

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5

Cover image for TradeYourAmp: Power Trading Automation Platform

TradeYourAmp: Power Trading Automation Platform

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3

Cover image for Transforming Lounge Chairs into Immersive Wellness Ecosystems

This project represents a fusion of high-end industrial design and user-centric digital interfaces. The goal was to transform the experience of a "Futuristic Lounge Chair" from a simple utility into an immersive wellness ecosystem. Below is the structured content and design approach used for this project. 1. Project Vision To create a seamless, cohesive digital experience that bridges the gap between luxury furniture and advanced medical-grade massage technology. The interface is designed to feel as "premium" as the chair itself, utilizing a "Glassmorphism" aesthetic that matches the futuristic pod-like hardware. 2. Design Approach: The "Glass-Wellness" Framework A. Visual Language (UI) Color Palette: Deep midnight blues and cyans provide a calming, "spa-at-night" atmosphere. High-contrast accent colors (lime green for active zones, amber for heat) provide clear functional feedback. Aesthetics: * Frosted Glass (Glassmorphism): Used for panels to create depth and a lightweight feel. 3D Anatomical Mapping: A high-fidelity human model provides immediate visual feedback on where the massage is currently focusing. Typography: Clean, sans-serif fonts (like Montserrat or Inter) for maximum legibility on tablet screens. B. User Experience (UX) & Interaction Zero-Gravity Navigation: Large, thumb-friendly hit targets were prioritized, recognizing that users are often reclined and less precise with their movements. Contextual Awareness: The interface changes based on the user’s state—moving from a "Discovery" mode (Product Benefits) to an "Active" mode (Live Session Management). 3. User Flow & Interaction Design Phase I: Discovery & Personalization Landing Interface: Displays the chair's technical specs (16H battery life, mental wellness benefits). Profile Selection: Users select or create a profile (e.g., "Anya - Stress Relief" or "Leo - Recovery"). This automatically adjusts the chair’s physical dimensions and pressure preferences. Phase II: Program Selection Dynamic Library: A scrollable list of specialized programs like "Lymphatic Drainage," "Deep Tissue," or "Yoga Stretch." Visual Preview: Selecting a program highlights the targeted body zones on the 3D model before the session starts. Phase III: Active Session Management Real-time Feedback (A): The 3D avatar pulses in the area being massaged (e.g., Anterior Right Thigh). Intensity Granularity (B): Side-panel sliders allow users to adjust "Roll Depth" and "Pinch Frequency" per zone without pausing the session. Status Indicators (D): Clear display of remaining time, current technique (Shiatsu), and a prominent "Emergency Stop/Pause" button (E). Phase IV: Advanced Environment Control Ambient Sync (F): A dedicated settings panel to control the "pod environment." Heat Mapping: Specific sliders for Upper Back and Leg heat. Chroma-Therapy: A color wheel to adjust the chair’s internal LED lighting. Audio Integration: Options for Nature Ambiance or custom Spotify playlists synced to the massage rhythm. 4. Technical Constraints & Solutions Hardware Limitation: To ensure the interface runs smoothly on standard chair tablets, heavy 3D renders are replaced with high-quality 2D sprite sheets or lightweight WebGL to maintain 60fps performance. Low-Light Optimization: The "Dark Mode" default prevents eye strain during evening use, which is when most users utilize massage chairs. Project Outcome The result is an interface that doesn't just "control" a chair, but manages an entire Wellness Environment, making the technology feel invisible and the relaxation feel absolute.

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85

Cover image for Sharajman Technologies Website

Sharajman Technologies Website

3

1

160

proDelhi, India

Web + AI Automation Dev for Service Businesses

Web + AI Automation Dev for Service Businesses

Cover image for Rebuilding Courier Logistics SaaS

Rebuilding Courier Logistics SaaS

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4

Cover image for Zulal Wellness Resort Website Optimization

Zulal Wellness Resort Website Optimization

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2

Cover image for Webflow Management for Holiday Inn Samui

Webflow Management for Holiday Inn Samui

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3

Cover image for Development of Hospital Booking Platform

Development of Hospital Booking Platform

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3

New Delhi, India

AI/ML Engineer | Building LLM, Agentic AI & ML System

AI/ML Engineer | Building LLM, Agentic AI & ML System

Cover image for DinoCode is a placement-preparation platform

DinoCode is a placement-preparation platform designed for Indian engineering students preparing for coding assessments, campus placements, and product-company interviews. Instead of functioning as another static DSA or LeetCode problem list, DinoCode helps students build a consistent preparation habit through personalized daily tasks, timed practice, revision schedules, and clear readiness signals. Students choose their target pathway and deadline, then receive a structured plan that identifies what to practise next and what concepts need revision. Key product capabilities: 1. Personalized daily DSA plans based on target, deadline, and available preparation time 2. Curated learning, revision, and timed-practice tasks 3. Spaced-repetition system to help students retain solved patterns 4. LeetCode progress import and historical tracking 5. Offline-first workflow with local caching and secure sync when connectivity returns 6. Explainable readiness indicators based on pattern coverage, consistency, revision strength, diagnostic results, and timed performance 7. Placement-focused preparation sprints, including short OA rescue plans and longer product-company DSA tracks 8. Secure Supabase/PostgreSQL backend with role-based access controls, typed APIs, idempotent offline syncing, and protected payment-entitlement architecture My contribution: I led the product strategy, system design, UX direction, database architecture, and implementation planning for DinoCode. I designed the shift from a company-wise DSA tracker into a student-first Placement Readiness OS focused on retention, structured preparation, and measurable progress. The technical design includes React, Supabase PostgreSQL, Row Level Security, controlled database RPCs, IndexedDB offline queues, TanStack Query, and a hybrid local/cloud data model. Product vision: DinoCode aims to make placement preparation less overwhelming by answering one practical question every day:

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55

Cover image for The Great AI ROI Lie Nobody in wants to Say Out Loud

The Great AI ROI Lie Nobody in wants to Say Out Loud

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5

Cover image for Jarvis CLI is a Python-based

Jarvis CLI is a Python-based voice assistant for Windows that enables hands-free desktop interaction through voice commands and an animated graphical interface. The assistant listens for a wake word, interprets spoken requests, and performs practical actions such as launching local applications, opening websites, searching Google or YouTube, playing media, retrieving the current time, and handling basic system commands. The project uses a modular architecture that separates speech processing, text-to-speech, command routing, desktop actions, and the GUI layer. It includes an animated orb interface that visually represents assistant states such as idle, listening, speaking, and code-generation activity. The voice and conversational pipeline was further explored with Google Gemini integration for transcription and AI-generated responses, while the project also contains local speech-recognition work based on Vosk. I designed and developed the assistant’s voice-command workflow, desktop automation capabilities, modular Python architecture, animated GUI, speech-processing integration, command normalization logic, and Gemini-powered conversational enhancements. The project demonstrates practical work in voice interfaces, AI assistant design, desktop automation, and human-friendly interaction flows.

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21

Cover image for SuperAgent is a multi-agent orchestration

SuperAgent is a multi-agent orchestration system built to automate complex, multi-step workflows across research, planning, coding, and general problem-solving tasks. The platform uses a hierarchical Hub-and-Spoke architecture powered by LangGraph and Google Gemini. A central Supervisor agent interprets the user’s goal, breaks the task into smaller steps, and routes work to specialized agents based on capability. The system includes a Coder Agent with isolated local code execution, a Generalist Agent for research and ideation, and persistent shared state to maintain context across agent handoffs. A React-based management dashboard provides visibility into agent activity, workflow progress, and approval-required actions. Safety is a core part of the design. SuperAgent applies iteration limits to control runaway execution and requires human approval before sensitive code execution steps proceed. The code-execution workspace is isolated through Docker-based containerization. I designed and developed the agent architecture, orchestration flow, safety model, code-execution environment, persistent context layer, backend services, and management dashboard.

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49

Full-Stack Developer Building Scalable Web, Mobile

New to Contra

Full-Stack Developer Building Scalable Web, Mobile

Cover image for Retail & Kirana Management System

Retail & Kirana Management System – Offline-First POS & Inventory Software I developed a complete locally-hosted, offline-first Retail & Kirana Management System designed specifically for small shop owners and kirana stores in India. This full-source-code product includes: • Fast & reliable Point of Sale (POS) billing • Real-time inventory and stock management • Employee shift management • Detailed sales, profit & stock analytics • Complete offline support with seamless local PostgreSQL database Key highlights: Works perfectly without internet (ideal for areas with poor connectivity) Fast performance even on low-end hardware Easy to install and customize as it comes with full source code Built for Indian retail needs — supports GST billing, multiple users, and daily reporting This project showcases my ability to build robust desktop applications, handle local databases, create user-friendly interfaces, and deliver production-ready software that small businesses can actually use and resell. Tech used: Electron + PostgreSQL + Modern UI

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Cover image for Government Exam Mock Test App

Government Exam Mock Test App – Scalable Mobile Platform for Competitive Exams I developed a complete subscription-based mobile platform for Indian government exam preparation (SSC, Banking, Railways, UPSC, etc.). This cross-platform app helps students take realistic timed mock tests with instant results and detailed performance analytics. Key Features Delivered: • Full mobile app (Android + iOS) with smooth offline support • Real-time timed mock tests with question banks • Secure subscription system and payment integration • Admin dashboard for managing exams, users, and content • High-concurrency handling for thousands of simultaneous test-takers • Detailed performance analytics and progress tracking Built as a robust, scalable solution using modern cross-platform technologies. The platform supports multiple subscription tiers and delivers a seamless experience even during peak exam seasons. This project showcases my ability to build production-grade mobile applications, backend systems, payment integrations, and admin panels that handle real user load. Perfect for edtech startups and coaching institutes preparing students for competitive government exams in India.

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Cover image for Offline AI Audio Transcriber –

Offline AI Audio Transcriber – Local LLM-Powered Speech-to-Text Tool I built a fully offline, privacy-first AI Audio Transcriber for clients who handle sensitive audio data. This desktop application converts audio recordings into accurate, structured PDF reports without sending any data to the cloud. Key Features: • Runs 100% locally on user hardware (no internet required) • Uses multiple local LLMs and speech-to-text models for high accuracy (96%+) • Automatically generates well-formatted PDF reports with timestamps and summaries • Strong focus on data privacy and security • Supports multiple audio formats Built with Python, leveraging local AI models to ensure complete confidentiality — perfect for professionals, researchers, lawyers, and businesses dealing with confidential recordings. This project demonstrates my skills in Python desktop application development, AI/ML integration, local LLM deployment, and creating secure, high-performance tools. Ideal for users who need powerful AI capabilities without compromising privacy.

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Cover image for FillFeedback – Affordable Typeform Alternative

FillFeedback – Affordable Typeform Alternative (SaaS Form Builder) I built and launched FillFeedback, a simple, affordable SaaS online form builder designed as a budget-friendly alternative to Typeform. It offers a generous free plan and paid plans at a fraction of the usual price, making professional forms accessible to everyone. Key features I developed include: Conversational, beautiful forms with browser-based video recording – respondents can record video answers directly in the form Support for file & document uploads in any format Powerful API integration to fetch and sync form data with your own systems Ready-to-use NPM package for seamless integration into any web project – no code editing required Easy Excel export, analytics, and real-time responses This project showcases my full-stack development skills in building a complete SaaS product from scratch – handling frontend UX, backend logic, video processing, API architecture, and package distribution. Live link: https://fillfeedback.com/

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