Experience
Applied Research Scientist
Thomson Reuters Lab · India
Aug 2024 – Present
Legal AI Reasoning and Model Enhancement
- Pioneered a legal synthetic data generation pipeline for Process Reward Models (PRMs), creating domain-specific training datasets that improved legal reasoning capabilities on LegalBench benchmark tasks.
- Evaluated different Test-Time Scaling paradigms for legal reasoning and inference-time compute optimization.
- Architected an IRAC (Issue-Rule-Application-Conclusion) Knowledge Graph framework using Thomson Reuters’ Westlaw corpus and court case data, generating high-quality preference datasets that improved legal reasoning alignment in fine-tuned LLMs.
AI-Powered Legal Document Update System
- Built a comprehensive end-to-end LLM workflow pipeline to update Word documents with XML parsing and intelligent contextual mapping, achieving 70%+ success rate while preserving complete document formatting integrity.
- Engineered a human-in-the-loop validation interface with reasoning chains and alert-point mapping, resulting in a 60% reduction in manual processing time while maintaining legal accuracy.
DocEvolver
- Created an MVP for a “Cursor for Word” style extension for updating and understanding MS Word files for lawyer-editors.
Search-and-Replace Agentic System
- Architected a multi-agent AI system for automated Word editing with a comprehensive validation pipeline (schema enforcement, content integrity, audit logging), achieving 98% accuracy and 65% reduction in manual content revision.
- Constructed error-resolving agents with function calling and multi-turn reasoning to fix XML issues, implementing few-shot learning and self-healing mechanisms — adopted across teams, processing hundreds of documents monthly with sub-8 second processing time per section.
Additional Tools
- Truth Social Monitor: Created a monitoring system for Trump’s Truth Social posts with sub-3 second latency, generating automated alerts for Reuters journalists.
- Page Flipper: Revived the Page Monitor extension for website tracking, eliminating Visual Ping subscriptions for the team.
Research Intern
Microsoft Research India
Jan 2024 – Jul 2024
Programming with Representations (PwR)
- Led backend development for PwR Studio, focusing on Natural Language to Domain Specific Language (NL2DSL) translation using GPT-3.5 and GPT-4.
- Developed a symbolic translation pipeline that generates finite state machines structured as custom DSL, achieving an 85% reduction in hallucinations.
- Formulated rubrics and evaluation loops with error correction over DSL, increasing valid DSL generation from 65% to 95%.
Jugalbandi Studio Engine
- Architected a Python-based platform that converts DSL into scalable finite-state-machine-based chatbot applications, reducing development time by 80%.
- Platform was featured in Satya Nadella’s keynote talks; enabled 15+ non-technical organizations to build AI-powered conversational bots.
Jugalbandi (JB) Manager
- Established a chatbot management platform supporting WhatsApp, Telegram, and Web channels with multilingual text and voice capabilities.
- Integrated Bhashini Speech models with Azure service failover mechanisms, enabling 70% faster deployment of new chatbots.
Research Intern
AI Institute, University of South Carolina
Dec 2022 – Apr 2024
Knowledge Enabled Multimodal Ingredient Substitution
- Master’s thesis on multimodal ingredient substitution. Built a knowledge graph incorporating 27K ingredients and 40K substitution pairs, enabling precise ingredient recommendations using multimodal and constraint-based search.
- Developed an LLM-based query module for the ingredient substitution knowledge graph and submitted this work to AAAI-25.
- Formulated cross-modal recipe retrieval and cooking action recognition for recipe analysis, achieving 95% recall and leading to Cook-Gen at IEEE SMC 2023.
Visiting Researcher
Societal Computing, Saarland University (SIC)
May 2023 – Aug 2023
Satellite Image Super-Resolution
- Worked on satellite image super-resolution using temporal and multispectral information.
- Leveraged high temporal frequency low-resolution data for wildlife tracking and improved disaster analysis through GAN and diffusion approaches.
Research Intern
University of Maryland, Baltimore
Oct 2022 – Apr 2023
Personalized AI Assistant (HealthCareNLP Grant)
- Developed personalized response generation models using reward scaling over BART and T5.
- Work accepted as K-PERM at AAAI Symposium 2024; improved NUBIA score by 10%.
- Focused on knowledge and persona-aware loss scaling for better response generation.
AI Intern
EdgeNeural.ai · Pune, India
Jun 2022 – Aug 2022
Accelerated Inference & Model Optimization
- Developed training and optimization pipelines for automatic model training and hosting.
- Accelerated inference through quantization and CPU/GPU customization using TensorRT and OpenVINO.
Research Intern
Video Analytics Lab, IISc Bangalore
May 2022 – Aug 2022
StyleGAN-based Video Analysis
- Implemented StyleGAN-based architectures for disentangled video interpretation across domains.
- Improved image/video generation and analysis workflows using GAN-based modeling.
Research Intern
Visual Learning and Intelligence Lab, IIT Hyderabad
Nov 2021 – Apr 2022
Medical Image Processing
- Researched medical image processing with Prof. Dr. C. Krishna Mohan.
- Developed a novel architecture for improved classification of low-quality images and unbalanced datasets.
- Published SFFNet for panoramic dental X-ray segmentation at IEEE APSCON 2023.
Computer Vision Engineer
AI Mage (WETHEKOO)
Mar 2021 – Apr 2021
Fashion Tagging Engine
- Developed a fashion tagging engine using deep learning for product categorization.
- Optimized and deployed computer vision models on edge devices.
Software Engineer
Rhizicube Technologies
Jun 2021 – Sep 2021
Consumer Data Platform
- Oversaw server and REST API development and database design using Golang (Gin).
- Built a real-time streaming data pipeline using Apache Kafka.
- Built a LinkedIn scraper and generalized organization website crawler using Selenium and Beautiful Soup.