Akshay Kumar

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Founding AI Engineer

Kplor

May 2025 - Current (11 months)

• Implemented personalized AI tutor with RAG and LangGraph, orchestrating multi-agent workflows to deliver dynamic conversational learning experiences for 500+ students with real-time response optimization. • Migrated on-premise AI systems to Google Cloud, scaling users from 100 to 2,000+ while achieving 40% lower latency.

AI Engineer - Contract

Mercor

Feb 2025 - May 2025 (4 months)

• Architected AI support assistant with Python, LangChain, and ChromaDB to autonomously resolve 300+ daily customer queries, improving response quality and reducing manual support via async APIs. • Streamlined data analysis using SmolAgents and tool calling, reducing troubleshooting time and support load by 60%.

Software Engineer

Eli Lilly and Company

Jun 2022 - Dec 2023 (1 year 7 months)

• Engineered scalable microservices and backend applications using Django and FastAPI with secure authentication for global pharmaceutical supply chain platform serving 93 countries. • Designed real-time data architecture integrating PostgreSQL and NoSQL datastores with RESTful APIs, documented with Swagger/OpenAPI standards. • Led 4-person team automating incident response with Python, Shell scripting, and ServiceNow integration, cutting support resolution time by 75% with real-time monitoring and alerts powered by CloudWatch. • Set up CI/CD with Jenkins, Git, Docker, and Terraform, reducing release cycles from 4+ hours to under 20 minutes using blue-green deployments on AWS.

Software Engineer

CGI

Apr 2021 - May 2022 (1 year 2 months)

• Developed Flask microservices achieving sub-200ms API response times through database indexing and connection pooling, serving project data to 2,000+ active users. • Delivered 10+ production-grade FastAPI and asyncio-based APIs, reducing forecast pipeline latency by 35% with secure OAuth 2.0 and JWT-based authentication for scalable financial applications. • Collaborated with cross-functional teams building a chatbot with TensorFlow, Dialogflow, and AWS Lambda, automating 70% of IT queries and saving 1,200+ annual support hours.

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Software Engineer

atyati Technologies

Aug 2019 - Apr 2021 (1 year 9 months)

• Created clustering models to segment banking customers by transaction behavior and demographics, exposing insights via Django APIs for 200K+ bank accounts. • Built NLP workflows to process customer feedback sentiment, improving support categorization accuracy by 60%. • Integrated real-time ML scoring with Scikit-learn APIs, reducing loan risk assessment time by 45% and improving decision accuracy for banking teams.

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Machine Learning Intern

Paagc

Oct 2018 - Apr 2019 (7 months)

Akshay Kumar

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