Pre Doctoral Research Associate [ Prof. Rambhadran Thirumalai ]
September 2025 - Present
Literature Survey.
Data Encapsulation.
Econometric Analysis and Signal Analysis
Current Research Areas - Capital Markets, Asset Pricing, Mutual Funds, Equities, Insolvency Code, Credit Risk, IPOs Underpricing and Underperformance
Software Engineer – Batch Framework Team
Jan 2025 – August 2025
Spearheaded the onboarding of 300+ data jobs into the batch framework, collaborating with relationship bankers and data analysts to optimize business processes and ensure seamless operational integration.
Automated job orchestration and scheduling workflows using Airflow, enabling batch communications across 200+ teams and ensuring reliable data delivery for critical bank operations.
Built monitoring utilities overseeing 3,000+ batch workflows, detecting and communicating failures in real-time, reducing operational downtime by 30%.
Enhanced batch job performance and resource utilization by optimizing configurations and partitioning strategies, supporting data pipelines that directly impact £100–200M in bank operations annually.
Software Engineer – C&I MLOps and Data Science
Aug 2023 – Dec 2024
Built and deployed a GPT-4-based POC tool for PDF metric extraction, achieving 95% accuracy and driving cross-team adoption by demonstrating significant time savings in reporting processes.
Led the migration of 1,000+ lines of SQL code to PySpark, enabling scalable data processing and reducing runtime bottlenecks.
Performed data quality testing for PySpark ETL pipelines, identifying and resolving data inconsistencies to ensure reliable business reporting.
Designed and implemented unit tests for PySpark pipelines using Pytest, achieving 90% code coverage and ensuring robust, production-ready code.
Research Intern – Computational Creativity [ Prof. Ganesh Bagler ]
Aug 2022 – May 2023
Developed text generation models (RNNs, LSTMs, GANs, Transformer models) to generate song lyrics with constraints on style and content.
Built a corpus of 20 artists’ lyrics and evaluated model performance using BLEU, GLEU, and NIST scores.
Research Intern – Centre of Analytical Finance [ Aditya Murlidharan, Prof . Prassanna Tantri ]
Mar 2022 – Sep 2022
Ranked lending firms (listed and unlisted) for CRIF using NLP techniques (stemming, lemmatization, tokenization).
Developed a scoring model based on financial indicators to evaluate and rank firms.
Created a case study for the Bank of Maharashtra, computed key banking ratios, and visualized macroeconomic data to provide actionable insights.
🥇 Winner – Smart India Hackathon 2020: Developed a telemedicine solution deployed at AIIMS Delhi. - [ 2020 ]
📈 Designed analytics dashboards for commodity markets research in India. - [ 2022 ]
🎓 SPDC Scholar – Recognized by Govt. of India for academic excellence. - [ 2019 - 2023 ]