🎓 B.Tech CCE @ Manipal University Jaipur (2022–2026)
💼 SDE Intern (AI/ML & Backend) @ DigiFortex | Ex-Adani Green, Celebal, Adani Power
🔬 Building production-grade AI pipelines at the intersection of technology, strategy & execution

I'm a Data Scientist and AI Software Engineer who architects AI-driven product systems that transform fragmented, real-world data into structured, decision-ready intelligence for enterprise use cases. Currently at DigiFortex and previously worked at Adani Green Energy, Celebal Technologies, and Adani Power.

• 🤖 LLM & RAG Systems: Built AI-enabled compliance pipelines with intelligent document extraction, classification, and LLM-powered reasoning layers
• ☁️ Cloud-Scale Engineering: Hands-on with AWS, GCP, and Azure — worked with large-scale datasets and production pipelines on GCP
• 📊 Data-Driven Impact: Time-series forecasting models with 15% accuracy improvement and ML automation reducing manual effort by 40%
• 🏗️ Product Thinking: Competitor benchmarking, market gap analysis, and translating business requirements into scalable system design
• 📈 Proven Results: Dashboards reducing debugging latency by 70% and engagement boosts of 18–20%

🚀 Cursor-like Intelligence | Multi-Mode AI Assistant | Repository Intelligence

Advanced AI-powered code analysis platform that provides Cursor-like intelligence for understanding, analyzing, and improving codebases. Features context-aware chat, security scanning, code visualization, and real-time analysis with Groq and Gemini AI.

🛠️ Tech Stack: Python, FastAPI, React, TypeScript, RAG, Vector Search, Groq, Gemini 📊 Impact: Intelligent code suggestions, 50MB+ repository processing, real-time AI assistance

📈 20% CTR Boost | 12% Churn Reduction | 500K+ Records

Comprehensive analysis of Instagram user engagement patterns using SQL and Power BI. Created actionable insights that led to significant business improvements.

🛠️ Tech Stack: SQL, Power BI, Data Analysis 📊 Impact: 20% increase in ad CTR, 12% reduction in user churn

🏢 Used at Adani Power | 40% Manual Work Reduction

Developed a real-time people counting system using OpenCV and MobileNet SSD. Successfully deployed at Adani Power, reducing manual monitoring workload by 40%.

🛠️ Tech Stack: Python, OpenCV, MobileNet SSD, Computer Vision 📊 Impact: 40% reduction in manual monitoring at Adani Power

📊 15% Accuracy Improvement | Time Series Analysis

Built an LSTM-based time series model for stock price forecasting. Achieved 15% improvement in prediction accuracy compared to baseline models.

🛠️ Tech Stack: Python, TensorFlow, LSTM, Yahoo Finance API 📊 Impact: 15% improvement in stock prediction accuracy

⚡ Real-time NLP | 18% Engagement Boost | Crisis Response

Live dashboard using VADER sentiment analysis for market intelligence. Enabled faster crisis response and achieved 18% boost in user engagement.

🛠️ Tech Stack: Python, Streamlit, VADER, NLP 📊 Impact: 18% engagement boost, faster crisis response

🔍 70% Debugging Time Reduction | Slack Integration | 1000+ Logs

Real-time log analyzer with Slack alerts and anomaly detection. Processes 1000+ log entries with service-wise filters and 10-second auto-refresh.

🛠️ Tech Stack: Python, Streamlit, Slack API, SQLite 📊 Impact: 70% reduction in debugging latency, <2s Slack alert response

Advanced Data Analytics	Machine Learning Fundamentals	Foundations of Project Management	Optimization for ML
Algorithmic Toolbox	Business Analysis Fundamentals	The Power of Statistics	Software Engineering: UML