Curriculum Vitae
MSc in Data Science (EPFL) with a background in quantitative research for fixed-income markets and building enterprise-scale AI workflows and agentic systems for law firms. Experienced in orchestrating LLM-powered document analysis pipelines, investment strategy research, and data-driven tooling. Passionate about building AI systems that leverage existing data, learn alongside their users, and evolve into trusted analytical partners.
Education
École polytechnique fédérale de Lausanne (EPFL)
MSc in Data Science · Grade: 5.67/6 · Research Scholars Program
Sep 2022 – Mar 2025
Lausanne, Switzerland
Lausanne, Switzerland
Indian Institute of Technology Madras
BTech in Engineering Physics
Jul 2017 – May 2021
Chennai, India
Chennai, India
Technical Skills
Languages & Tools
PythonCJavaJavaScriptGitDocker
ML & AI Frameworks
PyTorchvLLMOllamaDSPyOpenAI Agents SDK
Data & Infrastructure
PySparkPostgreSQLQdrantChromaDBPandas
Visualization
StreamlitPlotlyDash
Professional Experience
AI Workflow Architect
DeepJudge
- Architected and deployed production AI workflows and agentic systems that search 2M+ legal-document indexes to automate complex document-analysis tasks.
- Built 10+ workflows orchestrating semantic search, LLM calls, document parsing, and JavaScript for custom transformations.
ML Research Intern (Master's Thesis)
Logitech Innovation Centre
- Benchmarked 11 Small Language Models for on-device deployment, achieving ≤100 ms latency and 30+ tokens/s on a 4 GB GPU.
- Compiled a technical report on latency–context-length relationships, needle-in-a-haystack performance, and memory-scaling for SLMs.
Quantitative Research Intern
Garda Capital Partners
- Developed a deep RL model for portfolio construction using returns, volatility, and market-context features.
- Delivered research on risk-aversion, market-neutral, and trend-following strategies within fixed-income products.
Data Science Research Intern
Adobe Media and Data Science Research Lab
- Developed a hybrid quantum-classical clustering algorithm (Q-means) using variational quantum feature embedding for large-scale data segmentation.
- Offered a full-time position post-internship.
Research Projects
Ethical Alignment of LLMs with RL from AI Feedback
Semester Project, EPFL · Guide: Alexander Rusnak
- Encoded a virtue-ethics framework into LLMs via supervised fine-tuning and RL training using PyTorch and Hugging Face.
Predator–Prey Simulation using Reinforcement Learning
Course Project, EPFL · Guide: Prof. Amir Zamir
- Studied emergent predator–prey dynamics through simulated vision and RL across different vision types.
- Received Best Course Project Award → sponsored trip to ICML 2024.
Online Estimation and Optimization of Shortfall Risk
IIT Madras · Guides: Prof. L.A. Prashanth & Prof. K. Jagannathan
- Proposed SGD-based algorithms for shortfall risk estimation and optimization. Published in Mathematics of Operations Research.
Publications
Awards
EPFL Research Scholars MSc Program — Research scholarship awarded alongside MSc admission.
HackUPC 2024 Winner and two-time LauzHack winner (2022, 2024). See Devpost.
Best Course Project Award — "Visual Intelligence: Machine and Minds" at EPFL → sponsored trip to ICML 2024 in Vienna.
Relevant Coursework
Data Science & ML
- Modern NLP
- Optimization for Machine Learning
- Neural Networks & Reinforcement Learning
- Large-Scale Data Science
- Applied Data Analysis
- Advanced Topics in AI
- Data Structures and Algorithms
Mathematics & Statistics
- Information Theory
- Causal Inference
- Estimation Theory
- Applied Statistics
- Mathematics of Data
- Probability Theory
- Applied Linear Algebra