Headline

Data Scientist | Aviso AI | IIT KGP

About

Turning complex data into intelligent systems that drive real-world impact. When not building models, you can find me lifting weights.

Location

New Delhi

AI stack

antigravity

codex

claudecode

Work experience

Data Scientist at Aviso AI, Jun 2025 - Present · 1 yr 3 mos, Redwood City, California, United States, Working on Activity Intelligence, building scalable AI systems for sales intelligence, transforming unstructured interactions (emails, meetings, calls) into decision-ready signals for revenue teams. • Built Engagement Grade V2, an AI-driven system that converts unstructured interaction data into interpretable deal health signals (A to D), helping sales teams understand deal progression more objectively • Designed a pipeline combining interaction data with CRM signals, enabling a unified and time-aware view of deal activity • Leveraged Graph Neural Networks (GNNs) to model buyer-seller interaction dynamics and capture real-world engagement patterns • Incorporated temporal and recency-based signals to reflect current deal momentum rather than static snapshots • Developed a hybrid ML + rule-based system to ensure stable, interpretable outputs for business users • Building Autotagging, an automated meeting intelligence system to eliminate manual tagging, increasing coverage from 10–15% to 100% • Designed a hybrid ML + LLM pipeline to support both labeled and zero-label cases, enabling scalable deployment

Software Developer at Cloobot, Apr 2025 - Jun 2025 · 3 mos, Chennai, Tamil Nadu, India

Software Developer at Arthtattva, Feb 2025 - Apr 2025 · 3 mos, Bengaluru, Karnataka, India

Project Team Lead at Oplexa, Jun 2024 - Sep 2024 · 4 mos, Dublin, California, United States, • Directed the full-stack development of an expert consultation app for iOS and Android using Dart (Flutter) and Node.js. • Oversaw the architecture, backend APIs, and integrated real-time chat and call features. • Implemented a personalized recommendation system, enhancing user engagement and satisfaction. • Built a scalable infrastructure on AWS, improving app performance and reliability.

Data Science Intern at Stanford University, May 2023 - Aug 2023 · 4 mos, California, United States, Applied machine learning approaches to investigate predictive accuracy for key indicators of maternal and child health status and health service coverage.

Education

Bachelor of Technology - BTech, Metallurgical and materials engineering, Indian Institute of Technology, Kharagpur

12th, PCM, kendriya vidyalaya