Experience
- ML Quantitative Research Intern – Vatic Labs (UAE) Jan 2026 – Apr 2026
Developed a research pipeline for alpha factor mining from raw order book data using a multi-agent system. Incorporated generated factors into predictive time-series models including TCNs and LSTMs. Supported the buildout of an end-to-end systematic trading research workflow from signal generation to model evaluation.
- ML Quantitative Research Intern – Standard Chartered (UAE) Jul 2025 – Aug 2025
Built predictive models for FX rate dynamics (PKR, INR, NPR) with a focus on robustness. Engineered and evaluated feature sets derived from market and competitor pricing data to support return-sensitive pricing decisions.
- Research Intern – Dubai Health (UAE) Apr 2025 – Jul 2025
Developed and deployed a lightweight snoring detection algorithm on ESP Sense for sleep monitoring. Achieved 99% reduction in storage/processing and 50% lower power consumption compared to phone-based approaches.
- Data Science Intern – ADNOC (UAE) Jan 2025 – Mar 2025
Built forecasting and scoring models on heterogeneous time-series and textual data to rank emerging technologies. Automated feature extraction and scoring pipelines, reducing manual analysis time by 90%.
- Machine Learning Intern – Proshort (India) Jun 2024 – Aug 2024
Fine-tuned and quantized LLMs (LLaMA-3-8B, Phi3-mini-128k) in PyTorch. Deployed models using Docker and FastAPI, integrating RAG pipelines to improve response accuracy by 30%.
- Software Developer Intern – Denso International (India) May 2023 – Jul 2023
Built ECU data analysis software for Suzuki Motors, reducing manual analysis effort by 70%. Developed an ADAS data collection application integrating camera and GPS streams.
- Research Intern – Santa Fe Research, IIT Madras May 2022 – Sep 2022
Optimized vehicle routing using OR-Tools with time, capacity, and dimensional constraints, integrating 3D bin packing to improve logistical efficiency.