ajay ai
@ajayai
Senior AI Engineer focused on Agentic AI and GenAI production systems, building scalable multi-agent and RAG pipelines.
What I'm looking for
I’m a Senior AI engineer with 7+ years in production ML and roughly two years focused on Agentic AI / GenAI. I architect and ship end-to-end production systems where quality, evaluation, and reliability are built in—not bolted on.
At Sutherland, I designed and deployed production multi-agent AI systems on LangGraph for insurance customer-experience analytics. I built “AI Contact Drivers” and “AI Agent Coaching,” processing thousands of conversations daily, grounding outputs in verbatim chat evidence, and surfacing emerging themes via embedding-based clustering.
I built a production CSAT prediction model combining Mistral 7B summarization, Universal Sentence Encoder embeddings, and XGBoost classification—extending CSAT visibility from ~10% survey coverage to 100% of conversations. I also operate self-hosted LLM serving (Mistral 7B via vLLM) integrated with Milvus vector stores, running summarization and classification at a fraction of equivalent commercial-API cost.
Earlier, I delivered production ML across healthcare and consumer internet, including predictive maintenance, medical-text summarization, and computer vision. I’m also proud of independently shipping a Gemini-powered, multi-modal agriculture assistant to the Google Play Store in 8 Indian languages—LLM reasoning with image input, voice interaction, and per-user agronomic context.
Experience
Work history, roles, and key accomplishments
Architects and deploys production multi-agent LangGraph systems for insurance contact-center analytics, including AI Contact Drivers and AI Agent Coaching. Builds and operates a production CSAT prediction model and self-hosted LLM serving with continuous evaluation and monitoring.
AI Agriculture Assistant Developer
Independent Project
Jan 2024 - Present (2 years 6 months)
Independently builds and ships an end-to-end AI agriculture assistant on Google Play with generative, multi-modal, and voice-enabled features across multiple Indian languages. Integrates Gemini via Firebase Vertex AI for crop diagnosis and grounded agronomy recommendations using per-user context and structured data.
Develops multi-modal RAG pipelines using AWS Bedrock and LLMs, and automates extraction of text, tables, and images from PDFs. Builds semantic retrieval with Chroma and Titan embeddings and a Streamlit app for interactive document analysis.
Leads healthcare AI initiatives including failure prediction for MRI Sense head-coil systems and scalable data architecture for medical-text processing. Fine-tunes LLMs for medical-text summarization and applies RAG with benchmarking and prompt engineering, while leading a small AI team.
Data Scientist / NLP Engineer
Time Inc
Mar 2020 - Jul 2021 (1 year 4 months)
Builds a promotion-enrollment classifier to predict likely enrollees and expected sale value, and creates territory alignment using sales and geographic constraints. Trains a VGG-19 CNN image classifier and implements Python/NLTK sentiment analysis on customer feedback.
Develops HR attrition prediction models and a cancer-detection classifier on patient clinical records. Writes SQL/Hive data-quality validation scripts and builds Python/Tableau reporting for client stakeholders.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University Kakinada
Bachelor of Technology
Completed a Bachelor of Technology (B.Tech) at JNTU Kakinada.
Availability
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Authorized to work in
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