Freelance Backend Engineers in Bengaluru
Freelance Backend Engineers in Bengaluru
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Gokul Shivappa
pro
Bengaluru, India
Software Developer | Flutter/FlutterFlow • Full Stack • SaaS
$100k+
Earned
2x
Hired
5.0
Rating
97
Followers
Agency
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Software Developer | Flutter/FlutterFlow • Full Stack • SaaS
3
HFG Vault - Secure Client Portal
3
60
8
Accademia Club - Admin Panel
8
40
8
Accademia Club - Audio/Video Streaming Platform
8
75
3
Pregga | Maternal Health Support App
3
102
Backend Engineer
(3)
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Subhradip Roy
pro
Bengaluru, India
AI Developer | Full-Stack Web Apps | AI Agents & Automations
$5k+
Earned
4x
Hired
4.9
Rating
98
Followers
Expert
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AI Developer | Full-Stack Web Apps | AI Agents & Automations
3
Backend Rebuild - 40% of the Logic Was Undocumented
3
25
2
Production Grade AI Pose Estimation System | €9K / month Cost Savings PitchVision Labs a sports analytics startup, needed a proprietary real time 3D pose estimation system to power their soccer analytics platform - replacing expensive third-party APIs while handling 600K+ daily active users across European football academies and semi-pro leagues.
2
455
3
Rebuilding an Animal Shelter's Entire Digital Operation
3
26
3
AI Design Engine for Rumor - Forbes Featured Event OS
3
35
Backend Engineer
(2)
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Himanshu Kumar
pro
Bengaluru, India
Helping founders turn Replit MVPs into secure, scalable SaaS
13x
Hired
5.0
Rating
46
Followers
Expert
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Helping founders turn Replit MVPs into secure, scalable SaaS
3
BuildWise Construction Project Management
3
4
0
Automated Real-time Booking System Development
0
5
0
Secure Auth & Multi-Tenant System for Industrial SaaS
0
19
2
Workflow Automation for Industrial Services
2
42
Backend Engineer
(4)
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Ankit S
Bengaluru, India
Tech
$25k+
Earned
4x
Hired
5.0
Rating
13
Followers
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Message
Tech
0
Production-ready Microsoft Teams Bots or Apps
0
8
0
Create custom MCP server for data sources
0
7
0
ChatGPT API Integration for Multiple Backends
0
7
0
ERG Spark
0
9
Backend Engineer
(3)
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Rongali Chaitanya
pro
Bengaluru, India
Full-stack developer & product designer | AI workflows
12
Followers
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Full-stack developer & product designer | AI workflows
0
ReviewDesk: Customer Feedback and Testimonial System
0
10
1
FollowDesk: Automated Lead Follow-Up and Booking CRM
1
8
1
Noerong Proposals: White-Label Proposal and Approval SaaS
1
9
0
FrameProof: Visual Feedback and Version Approval
0
3
Backend Engineer
(2)
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Aishwary Dhare
pro
Bengaluru, India
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
5.0
Rating
7
Followers
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Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
0
Migration of ETL Pipelines to Apache Airflow
0
16
0
Global FinTech Development for MishiPay
0
8
0
Universal File Manager Development
0
5
0
High-Performance Cryptocurrency Trading Engine Development
0
11
Backend Engineer
(4)
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Mirwaise Khan
Bengaluru, India
AI Product Engineer building custom LLM & RAG pipelines.
New to Contra
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AI Product Engineer building custom LLM & RAG pipelines.
0
Hi, I'm Mirwaise Khan, an AI engineer building practical tools with large language models. This is a project I built — an Enterprise AI Document Assistant. You upload any PDF, and it indexes the content using ChromaDB and vector embeddings. Then you can ask it questions in plain English, and it retrieves the exact relevant section and gives you a grounded answer — with the source cited, so you always know where the information came from. I build systems like this — RAG pipelines, AI chatbots, and document automation tools — using Python, LLMs, and vector databases. If you need something like this for your business, let's talk.
0
38
0
Project Title:- Custom Enterprise RAG Assistant | Chat with Documents & PDFs Project Overview: DocuMind is an enterprise-grade Retrieval-Augmented Generation (RAG) assistant designed to eliminate manual data extraction and prevent AI hallucinations. It converts static corporate files (PDFs, reports, resumes, contracts) into an interactive, grounded knowledge engine that provides answers backed by direct page-level citations. The Problem Solved: * Manual Data Hunting: Eliminates hours spent reading through dense, complex documentation. AI Hallucinations: Constrains LLM outputs strictly to uploaded context, ensuring reliable, factual data. Lack of Auditability: Provides exact file names and page references for compliance and verification. Key Technical Features: * Dynamic Indexing: Fast chunking and local vector embedding using Hugging Face models (all-MiniLM-L6-v2). High-Accuracy Vector Search: ChromaDB integration for persistent vector storage and low-latency similarity retrieval. Decoupled Architecture: Asynchronous FastAPI backend paired with a clean, responsive Streamlit chat frontend. Contextual Synthesis: Powered by Google Gemini (gemini-2.5-flash) for cost-effective inference. Tech Stack: Python, FastAPI, LangChain, ChromaDB, Hugging Face, Google Gemini, Streamlit.
0
29
0
AI Invoice Data Extraction Dashboard Built an AI-powered tool that automatically extracts key data from PDF invoices — vendor name, invoice number, date, tax, and total amount — and displays it in an editable dashboard for quick review before saving. Users can upload any invoice PDF, get instant structured extraction, correct fields if needed, and export clean data straight to CSV. Tech used: Python, GenAI/LLM extraction, Pandas, PDF parsing, Streamlit/web UI
0
33
0
🚀 How I Solved the HR Resume Bottleneck with AI Recruiters waste endless hours manually scanning hundreds of unformatted resumes, often missing strong candidates due to fatigue. To solve this, I built an AI Resume Screening Agent that automates the heavy lifting: Semantic Matching: Uses sentence embeddings to understand the true context of skills rather than relying on rigid keyword matching. Instant Leaderboard: Automatically parses multiple PDF resumes, computes match scores, and ranks candidates from best to worst. Actionable AI Feedback: Instantly generates structured breakdowns of candidate strengths, missing skill gaps, and hiring recommendations using the Groq API. Workflow Efficiency: Condenses hours of sorting into seconds with a one-click CSV report export. 🛠 Tech Stack: Python, FastAPI, Groq, SentenceTransformers, Pandas, HTML/CSS. Check the comments for the live public link to test it yourself! What tools do you use to speed up hiring?
0
62
Backend Engineer
(2)
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Snehalatha Reddy Abbavaram
Bengaluru, India
Backend Engineer |Node.js & NestJS Developer
New to Contra
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Backend Engineer |Node.js & NestJS Developer
0
Designed and implemented cloud-ready backend microservices using modern architecture principles to improve scalability, maintainability, and deployment efficiency. Developed independent services communicating through REST APIs while integrating databases, caching, and containerization technologies. Key Contributions Developed modular backend services. Built REST APIs for service communication. Containerized applications using Docker. Integrated Redis caching. Connected PostgreSQL and MongoDB databases. Improved scalability and maintainability of backend services. Technologies NestJS • Node.js • Docker • PostgreSQL • MongoDB • Redis • REST APIs • Microservices
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21
0
Designed and developed secure, scalable RESTful APIs for enterprise applications following industry best practices for authentication, authorization, validation, and error handling. Focused on building reliable backend services capable of handling high-volume requests while maintaining performance and security. Key Contributions Designed RESTful APIs. Implemented JWT Authentication. Built Role-Based Access Control (RBAC). Added input validation and centralized error handling. Optimized API performance. Conducted API testing and documentation. Technologies Node.js • Express.js • JavaScript • JWT • RBAC • PostgreSQL • REST APIs • Postman
0
19
0
Developed backend microservices for an EV charging management platform supporting charging stations, customer subscriptions, and operational workflows. Built scalable services using NestJS, integrated relational and NoSQL databases, and designed REST APIs for seamless communication between distributed services. Key Contributions Developed scalable backend microservices using NestJS. Designed REST APIs for charging station management. Integrated PostgreSQL and MongoDB. Implemented authentication and authorization. Optimized backend performance and API response times. Technologies NestJS • Node.js • TypeScript • PostgreSQL • MongoDB • Docker • REST APIs • Git
0
18
0
Developed scalable backend services for an enterprise digital pricing platform used to manage products, pricing, promotions, and customer accounts. Designed and implemented secure REST APIs using Node.js and Express.js, integrated PostgreSQL for data management, and optimized performance using Redis caching. Collaborated with cross-functional teams in an Agile environment to deliver reliable and high-performance backend solutions. Key Contributions Developed scalable REST APIs using Node.js and Express.js. Designed and optimized PostgreSQL database queries. Implemented Redis caching to improve API performance. Built secure authentication and role-based authorization. Tested APIs using Postman. Technologies Node.js • Express.js • JavaScript • PostgreSQL • Redis • REST APIs • JWT Authentication • Git • Postman
0
19
Backend Engineer
(4)
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