I'm a full-stack Software and AI/ML Engineer focused on integrating large language models and RAG pipelines into real-world applications. I work across the stack—from Python-based ML/data pipelines to .NET and Node.js/Express backends. I care deeply about building reliable, production-ready systems and thrive in collaborative, in-office environments where discipline and peer-driven problem-solving drive innovation.
- 🔭 Currently Focusing On: Building enterprise RAG-based AI assistants, automation pipelines, and publishing a dedicated Java DSA & LeetCode repository.
- 🌱 Deepening Expertise In: LLM integration, embeddings, and vector search.
- 💼 Experience: Software Developer @ Mass Infosolutions · Previously Software Engineer @ eAutomationHub · Lead Backend Developer @ Cyra.
- 🎓 Education & Upskilling: B.Tech in Computer Science & Engineering. Completed 60+ professional certifications (including deeplearning.ai, IBM AI Developer, and Google Data Analytics).
| Project | Description | Tech Stack |
|---|---|---|
| 🤖 AI Candidate Avatar | Turns any resume into a first-person AI chatbot recruiters can interview 24/7. Grounded strictly in real experience with inline citations, per-candidate vector isolation, and zero-login rate limiting. | Next.js, TypeScript, Supabase, pgvector, Gemini |
| 📚 Youtube Rag Knowledge Base | Engineered a full-stack AI platform enabling natural-language video search with timestamp citations. Built an async pipeline & scalable vector search via pgvector. | Python, FastAPI, React, TypeScript, PostgreSQL, Docker, Gemini, Groq |
| 🎙️ RAG Voice & Text Assistant | End-to-end enterprise assistant featuring a scraping/embedding pipeline, an LLM backend, and a browser widget leveraging the Web Speech API for hands-free voice interaction. | Python, Node.js, Express, ChromaDB |
| 📄 Resume Parser & ATS Matcher | Lightweight Python engine that extracts data from unstructured resumes (PDF/DOCX) into strictly schema-validated JSON. | Python, PyMuPDF, Pydantic, Regex |
| 📈 FolioLearn — Investor Education Platform | A SEBI-compliant course marketplace and content platform built in framework-free PHP, financial calculators, and an admin dashboard. Built as a client architecture demo emphasizing security (CSRF, prepared statements, role-based auth) and transparency over framework convenience. | React, TypeScript, Node.js, Express, MariaDB, Tailwind CSS |
| 🎓 EduCore ERP | A full-stack college ERP for admissions, fees, and scholarships with role-scoped student/staff/admin portals, JWT auth, per-record ownership checks, rate limiting, and a MariaDB→SQLite auto-failover data layer. React · Node.js/Express · MariaDB. | React, TypeScript, Node.js, Express, MariaDB, SQLite, Tailwind CSS, Vite, JWT |
| 📊 Inventory Management Pipeline | Production-style automation pipeline that generates, stores, and visualizes realistic IT asset inventory metrics. | Python, MySQL, Grafana |
| ⚙️ Ansible Windows Collector | Automation playbook that gathers deep system information from Windows hosts and centralizes it for inventory management. | Ansible, MySQL, Windows |
| 🐧 Linux User-Management Scripts | A modular suite of Bash scripts for automating Linux user provisioning, system monitoring, and remote command execution. | Bash, Linux, SSH |
- Languages: Java, Python, C, C++, JavaScript
- AI/ML: Gemini API, RAG Architecture, Sentence-Transformers, ChromaDB
- Backend & APIs: Node.js, Express, .NET, FastAPI, RESTful APIs
- DevOps & Infrastructure: Docker, Kubernetes, Ansible, VirtualBox, Linux, Grafana
- Data & Databases: MySQL, Pandas, Matplotlib, Tableau
- Tools: Git, GitHub, IntelliJ IDEA
Open to Software Engineering and AI-ML Engineering opportunities.