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AI Engineer with less than a year in AI/GenAI and full-stack development using Java and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ambitious, results driven tech professional. MCA gold medalist turned production developer, experienced in building data platform interfaces and end-to-end web applications. Skilled in Java, Python, and modern Gen AI tooling (RAG, LangChain, vector databases), with a consistent record of academic and project excellence.
Sri Jayachamarajendra College of Engineering (SJCE)
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2025
BLDEA's Commerce, BHS Arts & TGP Science College
Bachelor of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2023
Tungal Science Composite PU College
PUC · Science
June 1, 2017 – May 31, 2019
Tata Consultancy Services
Palantir Foundry Developer
January 1, 2026 – Present
India
AskYourSQL — Natural Language to SQL (GenAI Application)
June 1, 2026 – Present
Built: A natural-language-to-SQL tool (Python, Streamlit, LangChain) that lets users query a MySQL database in plain English, using Groq's llama-3.3-70b-versatile for generation, Ollama embeddings, and ChromaDB to ground responses in schema context. Broke: Errors shown AFTER irreversible operations-For DROP TABLE operations, the app was executing the query first, deleting the table, and then displaying an error message if the table didn't exist—making error handling useless and data already lost. Learned / Fixed: Implemented table existence checks BEFORE showing confirmation dialogs for DROP operations using database schema inspection. This prevents queries from executing against non-existent tables, catching errors before any data loss occurs. Users now see validation errors immediately (e.g., "table does not exist") without any database modifications
Production-Learning-RAG-App — RAG Chatbot, Deployed
June 1, 2026 – Present
Built: A RAG chatbot (FastAPI, ChromaDB, Sentence Transformers all-MiniLM-L6-v2 for local embeddings, Groq's llama-3.3-70b-versatile) containerized with Docker and deployed to Railway with CI/CD, built specifically to learn the production side of GenAI, not just the model. Broke: 500 Internal Server Error` on `/health’, caused by internal bad commit: raise Exception("Something went wrong!") Learned / Fixed: Rolled back on Railway in 30 seconds, then pushed proper fix. And learnt one important thing in production and monitoring “Roll back first and diagnose second. Never investigate while end users are affected”.
E-Case Paper Registration for Hospitals
June 1, 2026 – Present
Online appointment scheduling system — HTML/CSS/JavaScript front end, Python Flask backend, MySQL database.
Fitness Freak (Gym App)
June 1, 2026 – Present
Web app for browsing pre-designed fitness plans — Java, JDBC, Servlets, JSP, Bootstrap, Derby DB.
PetVet (Android App)
June 1, 2026 – Present
Vet appointment scheduling app with Google Maps API, email/SMS, and notifications — Java, Android Studio, SQLite.
MongoDB Database Developer (Python)
Manipal Institute of Computer Education
June 1, 2026 – Present
Java Programming
Manipal Institute of Computer Education
June 1, 2026 – Present
JDBC for Beginners
Manipal Institute of Computer Education
June 1, 2026 – Present
Advanced Computer Applications
Manipal Institute of Computer Education
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional web/mobile apps to advanced GenAI applications, indicates a broad interest and adaptability. The focus on learning the 'production side of GenAI' aligns well with a practical, results-oriented culture. The academic excellence and pursuit of a Master's degree suggest a drive for continuous improvement. However, the candidate's professional experience is limited to a single role starting in 2026, which is in the future, making it difficult to fully assess cultural fit based on real-world team dynamics and long-term commitment. The target role of 'AI Engineer' is well-aligned with the recent GenAI projects and stated technical skills.
Soft Skills & Operational Fit
The candidate demonstrates a strong learning mindset and problem-solving approach, particularly highlighted by the 'Broke' and 'Learned/Fixed' sections in their project descriptions. This indicates resilience, a proactive attitude towards debugging, and an understanding of operational best practices like rapid rollback. The academic achievements suggest discipline and a strong work ethic. However, with limited professional experience, the depth of collaboration and stress handling in a complex team environment is yet to be fully assessed.