Sep 2022 – Sep 2025 · 3 yrs

• Architected and led a cross-functional team to build "Co-Pilot," an automated pipeline for clause extraction and ML model generation eliminating manual data labeling and accelerating deployment cycles by 80%.
• Led the development of "Genius," an NLP-driven contract analytics platform; mentored junior data scientists on entity extraction and natural language-to-SQL modeling, improving enterprise data accessibility by over 60%.
• Directed the end-to-end development and team execution of "Contract 360," a scalable AI summarization engine that reduced legal contract review time by 40% by surfacing key risks, fees, and obligations.
• Led research and hands-on mentoring in applying Generative AI, LLMs, and RAG architectures to build conversational AI interfaces for legal documents, enabling real-time, context-aware extraction of critical business insights.
• Developed NLP pipelines for legal contract analysis by leveraging sentence and document embeddings with transformer models (e.g., BERT, RoBERTa), enabling accurate extraction of obligations, risks, and key clauses across varied document structures with over 90% precision.
• Mentored junior data scientists while developing AI algorithms, resulting in robust, production-ready models.

Sep 2021 – Aug 2022 · 11 mos · Gurugram, Haryana, India

• Led the development and deployment of an ML model for underwriting and home risk scoring for a top U.S. HNI insurer—improving loss ratio by 18% and reducing claim frequency by 15%; mentored team members on feature engineering and model optimization.
• Guided the design of an NLP engine to analyze unstructured text, extract relevant entities, and detect underlying sentiments; collaborated with business analysts to refine use cases and improve model precision.
• Directed analytical efforts to identify, measure, and recommend strategic interventions for KPI improvement across underwriting and claims operations.
• Supervised testing and validation of AI models, ensuring predictive reliability and regulatory compliance across multiple evaluation phases.
• Mentored junior data scientists while developing AI algorithms rooted in statistical modeling, resulting in robust, production-ready models for business-critical risk assessments.

Jan 2020 – Sep 2021 · 1 yr 8 mos

• Being just the 4th employee when I joined this start-up, I build various products and mainly Email-Bot (NLP Engine) from scratch
• Spending almost 4 years in a startup environment I have had full stack experience ranging from solving Data Science problems to building NLP/ML-based Models, Creating REST APIs, and deploying models and applications
• Incorporated Natural Language Processing and Text Classification to understand and translate complex problems into machine learning problems wherein the customer's text was read (unstructured), their intent and motive were predicted/calculated, relevant entities were extracted and a specific response was generated about their requests
• Leveraged neural networks and machine learning algorithms for standalone products and enhance existing product offerings by creating customized applications to make critical predictions, automate reasoning and decisions
• Worked closely with Business Heads and Tech Heads of various clients and got a deep understanding of the BFSI sector
• Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms

Jan 2018 – Jan 2020 · 2 yrs

Sep 2017 – Dec 2017 · 3 mos · New Delhi, Delhi, India