I'm a final-year AI/ML undergraduate at Dayananda Sagar University, Bengaluru, focused on building practical AI systems and full-stack applications.
I work across Machine Learning, LLMs, backend systems, data analytics, and frontend development — turning models and ideas into usable products rather than stopping at notebooks or prototypes.
Currently, I'm a Data Analyst Intern at Bosch, while also building an Agentic AI platform for industrial operations intelligence and decision support.
🤖 Agentic AI for Industrial Operations — Capstone Project, in active development
A multi-agent platform for industrial operations intelligence and decision support, built on production, machine, inventory, and sales data.
| Agent | What it does |
|---|---|
| Production Intelligence | Analyzes production performance and surfaces operational bottlenecks |
| Machine Health | Monitors machine data and detects anomalies pointing to equipment issues |
| Inventory & Forecasting | Studies demand patterns and forecasts inventory requirements |
| Decision Intelligence | Combines insights across agents into recommendations for management |
The platform also supports what-if analysis — comparing potential operational decisions before acting on them — surfaced through a management dashboard.
Goal — build AI systems that don't just answer questions: they analyze, reason, evaluate scenarios, and support decisions.
Bosch Limited — Data Analyst Intern
August 2026 – Present · Bidadi, Karnataka
- Source, clean, transform, and validate datasets for downstream analysis
- Build interactive Power BI dashboards around business-relevant KPIs
- Identify and resolve data-quality issues during processing
- Prepare reliable datasets and analytical workflows for reporting and analysis
|
🧠 AI / ML Transformer fine-tuning CodeBERT vulnerability detection PyTorch & Scikit-learn LLM applications · RAG Reinforcement Learning |
⚙️ Engineering ML microservices FastAPI services Full-stack AI applications Authentication & session security CI/CD · Model deployment |
Languages
AI / ML
Frontend & Backend
Data / Cloud / DevOps
Also using: SQL · Power BI · React Native · Git · Agile/Scrum
🛡️ SignalGuard — AI-powered transaction intelligence & model trust system
Evaluates data quality, model confidence, signal conflicts, drift, and anomalies to generate a trust score for ML predictions, with AI-assisted investigation and counterfactual analysis.
🔐 Neural Vulnerability Detector — CodeBERT fine-tuned on 190K+ real CVE functions
Detects vulnerabilities in C/C++ code. F1 Score: 0.782. Deployed across a FastAPI service, a GitHub Action that auto-comments on pull requests, and a VS Code extension.
🚗 Tripzo — Full-stack ride-booking app with a real ML fare-prediction microservice
Predicts fares using traffic, weather, demand, and time-of-day signals. Integrates 4 Google Maps APIs with an itemized fare breakdown and Razorpay payments.
🎙️ InterviewX — Voice-driven AI mock interview platform
Gemini 2.5 Flash generates interview questions live, Deepgram transcribes answers in real time, with session-cookie authentication and per-user Firestore isolation.
📈 RL Portfolio Optimization — PPO agent + ARIMA forecasting (contributor)
PPO reinforcement-learning agent combined with ARIMA forecasting for dynamic portfolio allocation. Contributed the forecast-vs-actual visualization, fixed core bugs, and rebuilt the documentation.
Agentic AI · AI/ML Engineering · LLM Applications · ML Systems · Data Intelligence · Decision Support · AI + Full-Stack Applications