AI Engineer | MERN Stack Developer | Full Stack Solutions
π§ AI Engineer and MERN Stack Developer with 2.8 years of experience in building AI-powered applications and full-stack solutions. Skilled in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) systems, AI Agents, and vector database integrations. Proficient in developing end-to-end products using React, Node.js, Express, and MongoDB, seamlessly integrating AI capabilities. With a proven track record of delivering solutions that enhance performance, automation, and user experience.
- π» Expertise: Full-stack development using MERN stack and AI technologies including RAG systems, NLP, and AI Agents.
- π§ AI Focus: Specialized in building intelligent applications with vector databases, model training, and prompt engineering.
- π Achievements:
- Built RAG systems with 35% improvement in contextual accuracy
- Developed AI-powered business intelligence suites with 89% prediction accuracy
- Created AI chatbots enhancing customer engagement by 60%
- π‘οΈ Performance Optimization: Implemented advanced caching, aggregations, and queue-based execution achieving 50% faster response times
Languages | Frontend | Backend | AI/ML | Cloud & Tools |
---|---|---|---|---|
JavaScript, Python | React, Redux, HTML, CSS | Node.js, Express.js | RAG Implementation | AWS (EC2, S3), MongoDB Atlas |
Material-UI, Ant Design | FastAPI, REST APIs | NLP, Vector Databases | Docker, Git, Bitbucket | |
MongoDB, PostgreSQL | MCP, Agents, Model Training | Postman | ||
Prompt Engineering |
- Tech Stack: XGBoost, Amazon Bedrock, RAG, Vector DB
- GitHub: π View Project
- Description: Developed comprehensive AI suite with HotLead AI achieving 89% accuracy in conversion prediction and RefereMore AI driving 28% increase in referral conversions
- Key Achievement: Implemented OneTruth Analytics with real-time anomaly detection, reducing business decision time from 5 days to under 1 day
- Tech Stack: React, Node.js, Socket.io, Hugging Face, RAG
- GitHub: π View Project
- Description: Built collaborative platform with Org Brain RAG plugin enabling 80% faster knowledge retrieval and reducing internal query resolution time from hours to minutes
- Key Achievement: Implemented document processing system with vector search and automatic summarization, improving content discovery efficiency by 65% and boosting team productivity
Jan 2025 β Mar 2025 | Bengaluru, KA
- Contributed to building a RAG system that automated property data retrieval through natural language queries, improving contextual accuracy by 35% and enhancing query response efficiency by 40%
- Built PostgreSQL Playground and automated 15+ key operations and cron jobs for lead revival, error handling, and callback scheduling, processing daily queries and enabling 99% query tracking accuracy
- Decoupled dashboard system and refactored lead sync processes, optimizing data retrieval for 10,000+ records, reducing latency by 40%, and improving overall system scalability for 50+ concurrent users
- Designed modular component architecture with 20+ reusable components and integrated an RAG-based chatbot, enhancing development efficiency by 60% while enabling contextual query handling and improving customer engagement
May 2022 β Sep 2024 | Bengaluru, KA
- Architected and developed comprehensive ERP & CRM platform from scratch with integrated modules for Quotations, Inventory, Ticketing, Vendor Management, and User Administration
- Built real-time dashboards and automated cross-departmental workflows, driving 50% productivity gains across Sales, Marketing, Finance, and Operations teams
- Optimized system performance through API enhancements and backend improvements, implementing pagination, caching, aggregations, and queue-based execution to achieve 50% faster response times
- Integrated payment systems and implemented security controls, reducing payment processing time by 30% while establishing role-based access controls for secure user experiences
- Managed AWS infrastructure and developed internal tools, ensuring high availability deployment while building Snag Reporting System that reduced manual follow-ups by 35%
I specialize in building intelligent systems that combine the power of AI/ML with full-stack development, creating solutions that not only perform well but also learn and adapt. Always exploring the latest in AI technologies and their practical applications!