SOFTWARE ENGINEER — FULL-STACK & AI INTEGRATION
Full-stack Software Engineer with production experience shipping AI-integrated web and desktop applications across React, Node.js, and Python, including 11 LLM provider integrations shipped to real users. Built and scaled a multi-platform product from zero to 52+ daily active users and first paying customer as a solo engineer. Comfortable owning a feature end to end — API design, auth, payments, and deployment.

FULL-STACK & DESKTOP ARCHITECTURE
Production experience across React, Next.js, Node.js, and Electron. Designed and shipped universal cross-platform desktop overlays and browser extensions for Chrome, Edge, and Firefox with local-first privacy, Supabase OAuth, and robust REST APIs.

AI & LLM SYSTEMS INTEGRATION
Integrated 11 LLM providers (Claude, GPT-4, Gemini, Perplexity, Ollama) with 5 prompt frameworks and 200+ templates. Deep background in Computer Vision (YOLOv9, CNN+SVM) for real-time defect detection and dataset optimization.
Software Engineer
AuraText · Aug 2024 – Present
• Founded and built AuraText solo from concept to production: Windows desktop app (Electron) and browser extensions for Chrome, Edge, Firefox.
• Grew to 52+ daily active users across 13+ countries with zero paid marketing, first paying customer within 10 months.
• Integrated 11 LLM providers (Claude, GPT-4, Gemini, Perplexity, Ollama) with 5 prompt frameworks and 200+ templates; architected local-first privacy system.
• Owned full stack: Supabase OAuth, Mixpanel analytics, Dodo Payments; shipped 8 versions in 4 months on a solo release cadence.
Engineering Roles & Research
Contract Engineering & Research
PromptLancers (Jan 2026 – Feb 2026): Built admin dashboard for AI prompt marketplace: user management, transactions, moderation. Integrated Razorpay 15% automated commission processing, OAuth, RBAC, and MongoDB.
CulosAI (Jul 2025 – Aug 2025): Delivered full MERN-stack AI content platform in 6 weeks with OAuth, AWS S3, Stability.ai, Replicate, Gemini, and multi-gateway payments.
Satyendra Nath Bose Summer Internship (Jun 2024 – Jul 2024): Fine-tuned YOLOv9 object detection pipeline, improving accuracy by 30% on specialized datasets.
Full-Stack & AI Systems
Robotics Challenge — National Finalist. Built CNN+SVM automated e-commerce defect detection system with 95% precision.
Presented AuraText, my solo-built AI prompt overlay tool, to industry leaders and founders.
Project 01 · Flutter · Firebase · Razorpay · CatVTON AI · Railway
Glimsy — AI Fashion Virtual Try-On App
• Flutter + Firebase app live on Google Play, built solo through the full Play Console process (production approval, closed testing with 12+ testers, worldwide rollout).
• Built a swipe-feed personalization algorithm and a rule-based body-fit recommendation engine.
• Built a Cloud Function proxy for the virtual try-on model API and evaluated four VTON model/licensing options (CatVTON/Fashn.ai) before choosing one for cost and commercial terms.
• Catalog of 3,495 products synced from Amazon and Myntra; designed 28-screen UX spec in Figma end to end with Razorpay and Railway deployment.
Link: Google Play Store (com.glimsy.app) ↗
Project 02 · Electron · TypeScript · Multi-Provider LLMs · Supabase
AuraText — AI Prompt & Desktop Overlay Tool
• Solo-built multi-platform productivity tool with universal overlay and smart cursor-lock across Windows and 3 major browser extensions (Chrome, Edge, Firefox).
• Integrated 11 LLM providers (Claude, GPT-4, Gemini, Perplexity, Ollama) with 5 prompt frameworks, 200+ templates, and local-first privacy.
• Scaled organically to 52+ daily active users across 13+ countries, first paying customer, and 8 production releases in 4 months.
Link: auratxt.com ↗
Project 03 · Python · OpenCV · CNN · SVM · Computer Vision
Smart Vision Quality Control — Flipkart Grid 6.0 Finalist
• Built an automated computer vision system for e-commerce defect detection, reaching 95% precision across diverse product categories.
• Implemented and optimized a hybrid CNN and SVM pipeline for real-time edge inference and anomaly classification.
• National Finalist in Flipkart Grid 6.0 Robotics Challenge among top engineering teams across India.
Link: GitHub Repository (flipkart-grid-6.0-robotics) ↗
Technical Skills:
• Languages: TypeScript, JavaScript, Python, SQL
• Frontend: React, Next.js, Electron, Browser Extension Development, HTML5, CSS3
• Backend: Node.js, Express.js, REST APIs
• AI / LLM Integration: Claude, GPT-4, Gemini, Ollama APIs, Prompt Engineering, Computer Vision (YOLOv9, CNN/SVM)
• Databases & Cloud: PostgreSQL, MongoDB, AWS (S3), Docker, Supabase, Railway, Git
Education:
National Institute of Technology, Silchar (2021 – 2025)
B.Tech, Computer Science and Engineering
Engineering Summary:
Full-stack Software Engineer with production experience across React, Node.js, and Python, including 11 LLM provider integrations shipped to real users. Built and scaled a multi-platform product from zero to 52+ daily active users and first paying customer as a solo engineer. Comfortable owning a feature end to end: API design, auth, payments, and deployment.
What I Value: High technical ownership, clear modular architecture, performance craft, and shipping reliable software.

I am actively seeking Software Engineering roles (Full-Stack / AI Integration). If you are looking for an engineer with hands-on production experience shipping web, desktop, and AI systems, feel free to reach out.
Let's discuss full-time Software Engineering roles, AI integration, or technical collaborations.