Freelance Researchers in Tamil NaduFreelance Researchers in Tamil Nadu
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sandhya 's avatar
sandhya
Chennai, India
Web and app designer with both aesthetic and modern style
Web and app designer with both aesthetic and modern style
Cover image for Shopify Case Study — Designing
Shopify Case Study — Designing for Seamless E-commerce Experiences This case study explores how thoughtful UI/UX design can simplify and elevate the online selling experience using Shopify as the foundation. The focus was on understanding how users interact with e-commerce platforms — from product discovery to checkout — and identifying opportunities to improve clarity, speed, and conversion. 🔍 What I worked on: • Analyzing user journey from landing to purchase • Improving product page structure and hierarchy • Simplifying navigation and reducing friction • Enhancing mobile shopping experience • Creating a clean, conversion-focused UI 💡 Key insights: • Users value speed and clarity over heavy visuals • A well-structured layout directly impacts conversion rates • Mobile-first design is critical for modern e-commerce • Trust elements (reviews, pricing clarity, CTA) play a major role 🎯 Outcome: A refined, user-centric shopping experience that feels intuitive, fast, and reliable — helping users make decisions with confidence. This case study reflects my approach to solving real-world design problems through research, structure, and simplicity. Open to feedback and opportunities 🚀
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Cover image for Meesho Redesign Case Study —
Meesho Redesign Case Study — Simplifying Social Commerce This case study focuses on redesigning the shopping experience of Meesho with the goal of making it more intuitive, trustworthy, and conversion-friendly — especially for first-time and non-technical users. Meesho operates in a unique space where buying and reselling intersect, which makes clarity and ease of use even more critical. 🔍 Problem areas identified: • Cluttered interface and overwhelming product listings • Confusing navigation for new users • Lack of trust signals during purchase decisions • Inconsistent user flow between browsing and checkout 💡 Design approach: • Simplified UI with clear visual hierarchy • Improved product discovery and filtering experience • Strong focus on trust elements (ratings, delivery info, pricing clarity) • Streamlined checkout flow to reduce drop-offs • Mobile-first redesign for better accessibility ✨ Key improvements: • Cleaner, distraction-free product pages • Faster decision-making with better information structure • Reduced friction across the user journey • More engaging and user-friendly interface 🎯 Outcome: A smoother, more reliable shopping experience that helps users browse, decide, and purchase with confidence — while also supporting Meesho’s social commerce ecosystem. This redesign reflects my focus on solving real usability problems while balancing business goals and user needs. Feedback is always welcome 💭
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Cover image for Hyperlocal SaaS Dashboard Design I design
Hyperlocal SaaS Dashboard Design I design scalable, user-friendly SaaS dashboards tailored for local businesses, delivery platforms, and e-commerce operations. The goal is to simplify complex workflows and help businesses manage everything from one clean, intuitive interface. 💡 What I offer: • End-to-end SaaS dashboard design (web & responsive) • Order, inventory, and delivery management interfaces • User flows & UX strategy for real-world operations • Data visualization (analytics, sales tracking, performance) • Clean UI systems built in Figma / Framer ⚙️ Key features included: • Real-time order tracking & status management • Inventory and product management dashboards • Delivery partner coordination interfaces • Insights & analytics for better decision-making • Role-based dashboards (admin / seller views) 🎯 What you get: • A scalable and structured dashboard design • Faster workflows for business operations • Reduced complexity for non-technical users • A modern SaaS experience ready for development This service is ideal for startups, founders, and businesses building tools similar to hyperlocal delivery platforms. Let’s build a system that actually works in the real world 🚀
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Cover image for Spectra — Where Art Meets
Spectra — Where Art Meets Technology Spectra is a concept landing page that blends classical art with modern digital innovation. Inspired by timeless sculptures and powered by futuristic design elements, it creates a bold and immersive visual experience. The idea behind Spectra is to showcase how traditional craftsmanship can evolve through technology — from 3D scanning and digital modeling to precision-driven production. ✨ Key highlights: • Fusion of classical sculpture aesthetics with modern UI • Dark, immersive interface with high visual contrast • Strong hero section with storytelling visuals • Structured sections for services like 3D printing, scanning, and resin casting • Artist showcase and artwork gallery integration 🎯 Design goal: To create a premium, gallery-like digital experience that feels both artistic and technological — appealing to creators, collectors, and modern studios. Spectra isn’t just a landing page, it’s a visual narrative of how art evolves in the digital era. Open to feedback and collaborations 🚀
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Researcher(1)
vigneshwar L's avatar
vigneshwar L
Pallavaram (Contonment), India
Backend & systems dev — Rust, Go, Python, databases
New to Contra
Backend & systems dev — Rust, Go, Python, databases
Cover image for Most RAG systems have two
Most RAG systems have two problems that nobody talks about enough. The first is semantic drift — your retriever pulls in chunks that look relevant (high cosine score) but don't actually answer the question causally. Ask "Why did Lehman Brothers collapse?" and you'll get back chunks about the 2008 housing crisis — same vocabulary, but those are the consequences, not the cause. Cosine similarity can't tell the difference. The second is context poisoning — even if each individual chunk is okay, a window full of semi-relevant chunks confuses the LLM. It attends to all of them, averages them out, and hallucinates. VORTEXRAG fixes both. It's a 7-layer pipeline I built specifically around these two failure modes. Each layer has a specific job:
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Cover image for AI Agent Skills Workflow Framework Development
AI Agent Skills Workflow Framework Development
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Cover image for A browser-based tool that turns
A browser-based tool that turns any GitHub repo into an instant, visual "intelligence report." You paste a GitHub URL and get a full dashboard back — no sign-up, no auth, no friction. It's a developer-tool / analytics product. Core features Health Score (0–100) — production-readiness rating across 7 quality dimensions, with letter grades Language pie chart — interactive breakdown of language composition Commit heatmap — GitHub-style 52-week activity grid Contributor rankings — top 10 contributors with avatars + metrics Smart dependency detection — parses package.json, requirements.txt, Cargo.toml, go.mod, pom.xml, Gemfile File tree browser — collapsible directory viewer with file-type icons README rendering — full GitHub-flavored Markdown with syntax highlighting Share cards — export a PNG summary for social media Tech stack LayerTechFrontendReact 18, Vite, Tailwind CSS, Recharts, react-markdownBackend (optional)Python 3.12, FastAPI, httpx, file-based caching, slowapi rate limitingDeployGitHub Pages (frontend), Railway (backend, optional) How it works The frontend runs entirely in the browser and talks directly to GitHub's REST API — that's why the live demo needs no setup or login (limited to ~60 requests/hour unauthenticated). The FastAPI backend is optional, and only exists to add caching and rate-limit relief when you self-host. Run it locally Or docker compose up --build.
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Cover image for Development of datamend Python Library
Development of datamend Python Library
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Researcher(1)
Ishwarya Suresh's avatar
Ishwarya Suresh
Chennai, India
UX consultant making products and processes MadeForHumans!
New to Contra
UX consultant making products and processes MadeForHumans!
Cover image for Project Accord
Project Accord
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Cover image for Built Afterglow with stitch by google a
Built Afterglow with stitch by google a two-person ritual app for neurodivergent humans. You share how your day felt as a glow, not words; a hard day is met with a slower, steadier light, never amplified. Designed every screen in Stitch: imported my portfolio's tokens, generated the screens, and animated the breath, the glow-merge, and an SVG shader with in-place edits. Then shipped it as a working PWA. Prototype - https://dashing-strudel-880ce8.netlify.app ·  https://www.loom.com/share/c90b979dafc340e99fe7f3a13586cc9e Calm by default. No streaks, no scores. Presence that remembers.
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Cover image for Co-designing a dementia care app
Co-designing a dementia care app that moved beyond reminiscence - validated with real users and domain experts from Discovery to Alpha.
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Cover image for Portfolio
Portfolio
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Researcher(1)
Balaji Munirathinam's avatar
Balaji Munirathinam
Arakkonam, India
Real-Time Data Solutions Expert
Real-Time Data Solutions Expert
Cover image for Researcher Tools
Researcher Tools
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Cover image for Account Intel
Account Intel
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Cover image for Automation of Data Extraction within Internal Data Flow
Automation of Data Extraction within Internal Data Flow
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Researcher(2)
Janani .'s avatar
Janani .
Chennai, India
Electronics grad skilled in PCB, circuit design and coding
$1k+
Earned
1x
Hired
5.0
Rating
2
Followers
Electronics grad skilled in PCB, circuit design and coding
Cover image for Reconfigurable FIR-IIR filter
Reconfigurable FIR-IIR filter
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Cover image for IoT projects
IoT projects
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Cover image for Arduino UNO - Automated Pest Electrocution System
Arduino UNO - Automated Pest Electrocution System
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Researcher(3)
Navaneetha Krishnan Kamalakannan's avatar
Navaneetha Krishnan Kamalakannan
Greater Chennai, India
AI & technical writer making complex tech easy to grasp.
New to Contra
AI & technical writer making complex tech easy to grasp.
Cover image for APC-RLNC: Adaptive Peer Clustering &
APC-RLNC: Adaptive Peer Clustering & Network Coding - Developed an adaptive Random Linear Network Coding system with EWMA-based peer scoring, distributed clustering, and redundancy optimization for vehicular networks. Built edge components across Python, C++, and Go, achieving 99.32% packet delivery ratio, 145 ms latency, and 12.7% lower energy consumption.
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Cover image for Ionic Wind Energy Harvesting for
Ionic Wind Energy Harvesting for Microscale Devices: Investigated a novel ionic-wind electrode design for improving energy-harvesting efficiency in microscale devices, with comparison against piezoelectric energy harvesting. The research was published by Springer in Lecture Notes in Networks and Systems in 2025.
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Cover image for Real-Time Neuromorphic Spectrum Intelligence Simulator:
Real-Time Neuromorphic Spectrum Intelligence Simulator: Developed a real-time software simulator for neuromorphic spectrum intelligence, exploring AI-driven approaches to wireless spectrum sensing and decision-making. The project combines signal-processing concepts with machine-learning and neuromorphic computing techniques to model intelligent spectrum behavior. The work was independently authored and presented at the NeurIPS ML4PS Workshop in 2025.
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Cover image for HYPERNET Mission Control — Space–Air–Ground
HYPERNET Mission Control — Space–Air–Ground Network Operations: Built a 3D real-time mission-control interface integrating satellite, UAV, and ground-network layers for space–air–ground communications. The platform combines live telemetry visualization with reinforcement learning, federated learning, and Random Linear Network Coding (RLNC) for intelligent network monitoring and optimization. Developed as an interactive software prototype using Replit, with a focus on real-time visualization, network intelligence, and scalable architecture.
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Researcher(2)
Sudhir Menon Gangadharan's avatar
Sudhir Menon Gangadharan
Chennai, India
Multi Cloud and AI Expert - Ex- AWS, Microsoft, Oracle
New to Contra
Multi Cloud and AI Expert - Ex- AWS, Microsoft, Oracle
Cover image for AI Tools , Conscious AI
AI Tools , Conscious AI Workshop The ability to transform the future depends on how we can identify the patterns of data and this workshop is discussion around the same for specific industry
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Cover image for Cloud Implementation and Industry Solution
Cloud Implementation and Industry Solution Analytics
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Cover image for Big Data Analytics with AI
Big Data Analytics with AI - building the next gen Workshop for CXO level on IOT Solutions, Implementations pattern and best practices with industry
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Cover image for Augmented Platform - Winner of
Augmented Platform - Winner of the best innovation product How the brain conjures conscious awareness from the electrical activity of billions of individual nerve cells remains one of the great unanswered questions of life. Human consciousness really is a mysterious thing. So what is artificial consciousness - that is the interesting paradigm . The thesis is around some of the blueprints into this subject
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Researcher(1)