Dual-degree engineer bridging the gap between High-Performance Computing, Product Strategy, and Business Analytics. I build production-grade systems that deliver real-world impact—from optimizing neural simulations for 500+ researchers to automating insurance workflows at enterprise scale.
Professional Experience
AI Product Engineer | Generali Central Life Insurance (Jul 2025 - Present)
- Built and deployed an end-to-end OCR pipeline using Gemini API & RAG, integrating LLMs for validation.
- Automated 70% of document workflows, reducing claim processing turnaround time from 5 days to <4 hours.
GSoC '25 Contributor (ISPC Backend) | Google (INCF - GeNN) (May 2025 - Sep 2025)
- Developed a high-performance backend for GeNN (Spiking Neural Networks) to enable SIMD-parallelized simulations.
- Achieved 9x speedups and 40% lower compute costs, collaborating with University of Sussex researchers.
Strategy & Operations (Founder's Office) | Albatross Energetics (May 2024 - Jul 2024)
- Defined KPIs for an HVAC forecasting product, validating the business case with founders and suppliers.
- Built a forecasting model with 95% accuracy, directly influencing the company's energy optimization strategy.
Featured Projects (Code & Strategy)
SeniorCare Mobile App | Product & Full-Stack
- Role: Product Lead & Developer.
- Impact: Led a 10-member team to build an accessibility-focused app.
- Tech: React Native, Flask, Firebase.
- Repository: [Link to GitHub]
Smart Inventory System | SOLVE Grant Winner
- Role: IoT Engineer & Grant Lead.
- Impact: Secured INR 1 Lakh Grant to prototype a warehouse automation system achieving 100% detection accuracy.
- Tech: IoT, Python, Hardware Prototyping.
Galaxy Tours Pricing Strategy | Revenue Optimization
- Role: Business Analyst.
- Impact: Projected 8.7% revenue growth by modeling fleet economics and dynamic pricing.
- Tech: SQL, Excel Modeling, Tableau.
Demand Prediction Model | IBM Capstone
- Role: Quantitative Analyst.
- Impact: Built a Prophet-based time-series model (MAE: 3.49) to optimize supply chain inventory.
- Tech: Python, Prophet, Pandas.
Research & Innovation
Reinforcement Learning for AUVs | BITS Pilani
- Developed DDPG-based path planning algorithms, reducing collision rates by 30% in simulation.
System Threat Forecaster | Cybersecurity ML
- Built a predictive framework to classify anomalies using supervised ML for early intrusion detection.
Highlights & Awards
- Google Summer of Code 2025 – Selected Contributor (Top 1% of global applicants).
- SOLVE Research Grant – Recipient of INR 1 Lakh funding for IoT Innovation.
- INSPIRE Fellow – Awarded by Govt. of India (Top 1% nationwide in HSC).
- Goa Police Hackathon Winner – Built AI fraud detection system.
Technical Skills
- Languages: Python, C++, SQL, Java, React Native.
- AI & Data: TensorFlow, PyTorch, Gemini API, RAG, Prophet, Tableau.
- Tools: Docker, Git, Linux, Jira, Figma.