Path to Impact
From foundational learning to leading enterprise AI, a decade of building, learning, and transforming ideas into production-grade solutions.
Foundation
Built strong CS fundamentals at VIT University. Explored robotics, algorithms, and software engineering principles.
Growth
Progressed from Data Science Engineer to Technical Lead. Built data pipelines, ML models, and led engineering teams across Cognizant and Capgemini.
Mastery
Advanced graduate research at UMass Dartmouth. Specialized in Computer Vision with YOLOv8 and ResNet-50. Published research contributions.
Impact
Leading enterprise GenAI solutions at AT&T. Architecting LLM systems, RAG pipelines, and production AI at scale.
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Professional Experience
Building production-grade AI systems across Fortune 500 companies and innovative startups.
AI Architect
Architecting enterprise GenAI solutions and LLM systems. Leading development of Python-based parsers and automated interpretation models. Overseeing API deployments using FastAPI and optimizing retrieval systems with Azure Vector Search and Cosmos DB.
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Technical Lead
Directed ML engineering teams to build data pipelines and predictive models. Recognized for high-impact delivery and technical leadership in scaling data products.
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Big Data & ML Engineer
Engineered scalable PySpark pipelines resulting in measurable performance improvements. Developed client-focused interfaces and optimized database queries for complex datasets.
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Data Science Engineer
Led cloud data migration projects and implemented predictive analytics models; specialized in automated data migration and visualization of key business insights.
Learn more about CognizantAwards & Recognition
Outstanding contributions and impact in professional roles.
RISE Award
Awarded for significant innovation and impact in AI systems, demonstrating leadership and driving transformational change.
Extra Mile Award
Recognized for exceptional contribution and going above and beyond in delivering excellence on critical AI and data science projects.
Education
Foundational expertise in computer science, AI, machine learning, and data systems.
University of Massachusetts Dartmouth
Graduate research in computer vision (YOLOv8 and ResNet-50). Focus on advanced algorithms and applied AI.
VIT University
Foundation in Computer Science and Engineering; active involvement in robotics projects and technical societies.