Senior AI Engineer at Folium AI

Built AI avatar and video generation pipelines; implemented MLOps pipelines and model deployment workflows, and led a team of engineers to standardize AI architecture across projects. Scaled Kubernetes-based inference systems handling high-volume requests with low latency.

Lead AI/ML Engineer (Contract) at Turing

Architected and deployed LLM- and RAG-based systems across AWS, Azure, and GCP, supporting 50K+ automated decisions monthly. Built and scaled multi-agent AI platforms and Kubernetes-based inference systems handling 10K+ daily requests with 99.9% uptime. Led ML Ops pipelines and deployment workflows, reducing model regression by ~25% and improving system reliability by 20–40%. Led fine-tuning of state-of-the-art models and built end-to-end production pipelines.

Data Scientist at Area Hub.ai

Built Django-based microservices pipelines for an AI-driven environmental risk intelligence platform. Fine-tuned large language models (Meta LLaMA) and implemented AI-driven verification for listing quality, reducing fraud risk and enabling real-time decision making.

Lead AI/ML Engineer (Contract) at Turin

Led fine-tuning of large language models (LLaMA family), improved alignment with human preferences by 20% using reward modeling, and built multi-agent inference/workflow pipelines.

Data Scientist at Devsinc

Developed ML models for identity verification and fraud detection, improving prediction accuracy by 18% across large-scale datasets. Led data engineering and feature pipelines, achieving high actionability in onboarding workflows. Implemented CV/OCR-based models for document verification with YOLO and ML Ops pipelines to streamline processing.

AI-powered Student Attendance & Intervention Platform at Circle 2 Learn

Developed an AI-driven attendance management platform integrating with SIS systems to identify at-risk students and generate intervention plans, reducing report generation time from hours to under 5 minutes. Built data pipelines and analytics workflows to track attendance trends and automate decision support, improving early risk detection and enabling real-time interventions.

AI-powered Environmental Risk Intelligence Platform at Area Hub.ai

Built a Django-based microservice platform with an AI chatbot converting natural language queries into SQL for real-time property search; reduced response latency by 40% using asynchronous processing, caching, and streaming. Developed agent-based AI pipelines for listing creation and automated video generation, increasing listing quality and user engagement.