1 yrs exp
AI Engineer with hands-on experience developing, evaluating, and deploying Generative AI solutions, RAG workflows, LLM applications, and production REST APIs. Proficient in Python, LLM integrations, prompt template engineering, vector databases (ChromaDB), and cloud platforms (AWS/Azure). Skilled in context retrieval optimization, solution testing, data preprocessing pipelines, containerization (Docker/CI-CD), and troubleshooting operational failure cases to build reliable enterprise AI capabilities.
1 attempting
Experience
Program Analyst Intern (Infrastructure & Cloud Support)
Cognizant Technology Solutions · Chennai, India
Mar 2026 – Jul 2026 · 4 mo
• Supported enterprise cloud and infrastructure environments across Linux, Windows Server, Azure, and VDI platforms, developing deep operational understanding of system and application-layer behavior. • Analyzed system logs, monitoring metrics, and incident data to investigate operational failures, troubleshoot performance issues, and perform data-driven root cause analysis (RCA). • Authored technical documentation, operational runbooks, and knowledge guides to support consistent issue resolution and maintainable engineering practices.
GenAI & Data Science Intern
Sasken Technologies Ltd. · Bengaluru
Jun 2025 – Jul 2025 · 2 mo
• Built Python data preprocessing pipelines and optimized vector-based context retrieval (RAG) using ChromaDB for Generative AI workflows, improving context retrieval performance by 40%. • Constructed testing workflows across 10 GB+ code repositories using statistical analysis and accuracy benchmarks, evaluating retrieval output reliability at 92%. • Authored technical specifications, REST API documentation, implementation workflows, and evaluation reports in collaboration with cross-functional engineering teams.
Education
B.Tech Artificial Intelligence and Machine Learning
Saveetha Engineering College, Chennai, India
2022 – 2026
Skills & stack
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