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Associate Product Manager (AI) with 5+ years in Product Management & Generative AI.
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Assessing your cultural and operational fit
AI Product & Technology professional with 2+ years of experience in AI and product-focused roles, and 4.8+ years of overall experience across data analytics, enterprise software, implementation consulting, and business strategy. Skilled in driving data-driven decision-making, stakeholder collaboration, product execution, and scalable technology delivery. Experience spans AI-powered systems, backend solutions, market analysis, and cross-functional project coordination. Hands-on exposure to GenAI, LLMs, RAG workflows, Power BI, AWS, and enterprise platforms, with a strong focus on transitioning into AI Product Management and building impactful AI-driven products.
KL University (Koneru Lakshmaiah Education Foundation (KLEF))
MBA · Logistics and Supply Chain Management
August 1, 2018 – June 30, 2020
Velagapudi Ramakrishna Siddhartha Engineering College
B.TECH · EIE
August 1, 2016 – June 30, 2020
Kendriya Vidyalaya
Intermediate · MPCCs
June 1, 2014 – May 31, 2016
N.St.Mathew's Public School
SSC · CBSE
June 1, 2013 – May 31, 2014
IC Technologies (Stealth AI Startup)
AI Product (Associate)- GenAI
October 1, 2024 – March 1, 2026
India
Centre for Human Security Studies (NGO)
Research Associate
March 1, 2023 – September 1, 2024
India
Mahindra Teqo
Software Engineer (TSE)
July 1, 2022 – February 1, 2023
India
ZerocodeHR
Implementation Analyst
January 1, 2022 – June 1, 2022
India
Think & Learn Pvt. Ltd. (BYJU'S)
Business Development Associate
November 1, 2020 – September 1, 2021
India
AI-Powered Document Intelligence Platform (Advanced RAG)
October 1, 2024 – March 1, 2026
Defined the product problem: enable multi-document Q&A and semantic search across large enterprise document repositories. Designed RAG architecture using LangChain chunking strategies, Hugging Face embeddings, and vector databases. Established product KPIs: retrieval precision, response relevance, latency, and adoption. Worked with engineering to deploy production-ready services on AWS Fargate with Docker & CI/CD. Impact: ~40% improvement in retrieval accuracy Faster document analysis and reduced manual effort. Scalable, enterprise-ready AI platform
Data Migration to Multimodal AI-Ready Platform
October 1, 2024 – March 1, 2026
Architected and implemented end-to-end ETL pipelines using Python, Pandas, and custom data ingestion scripts to process structured (SQL) and unstructured (JSON, logs) datasets. Assisted with schema definition, ETL workflows, and data validation. Created AI-ready data foundations used for analytics and GenAI experimentation. Leading a data migration and modernization initiative to transition from a monolithic legacy system to a multimodal database architecture, supporting graph, document, and key-value data models. Supported migration from legacy data systems to modern, scalable data platforms
Full Stack Data Science and AI Program
Nasscom Certification
June 1, 2026 – Present
ArangoDB Certified Professional
ArangoDB
June 1, 2026 – Present
Integrating Generative AI into Business Strategy
Project Management Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse professional background, spanning AI product development, research, software engineering, and business development, suggests adaptability and a broad perspective. Their involvement in a 'Stealth AI Startup' and an NGO indicates a willingness to work in dynamic and mission-driven environments. The focus on AI-driven products and data modernization aligns well with an innovative, tech-forward culture. The breadth of skills and project types suggests a candidate who can integrate into cross-functional teams and contribute to various aspects of product development.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and analytical skills through their experience in data analysis, reporting, and project coordination. Their background in client-facing roles (Implementation Analyst, Business Development Associate) suggests good communication and liaison abilities. The experience with Scrum ceremonies indicates an understanding of agile operational frameworks, which is beneficial for product management. The candidate's ability to translate business requirements into technical configurations and define product KPIs points to a practical, results-oriented approach.