AI/ML Engineer with 1+ year of experience designing and building distributed applications and scalable backend systems. Skilled in Python, FastAPI, REST API design, and microservices to deliver high-performance solutions.
Experienced in integrating LLMs and orchestrating multi-agent workflows using Lang Chain and Lang Graph for automation and context-aware responses. Proven ability to collaborate in agile teams to bring innovative products to production.
Zennial Pro Private Limited
Hyderabad
Architected agentic AI systems using Lang Graph, Lang Chain, and Gemini API, enabling autonomous task execution and reducing manual intervention across multi-step workflows. Orchestrated multi-agent workflows with role-based agents and memory management, improving task accuracy through intelligent decision-making and automated execution.
Engineered high-performance RAG pipelines on distributed systems using Python, FastAPI, Mongo DB, and Lang Chain, improving retrieval quality and delivering context-aware responses at scale for AI-powered applications. Collaborated with cross-disciplinary teams to design and build innovative microservices and REST APIs, applying software development best practices in an agile environment.
B. Tech
GPA: 8.03
Developed an AI-powered recruitment assistant using Python, FastAPI, Gemini API, and prompt engineering to generate role-specific interview questions based on topic and difficulty level. Designed agent-driven workflows for dynamic question generation, filtering, and categorization, ensuring context-aware and consistent outputs.
Built scalable RESTful microservices with FastAPI to support concurrent requests and automated recruitment workflows, improving interview preparation efficiency by 30% Containerized services using Docker and managed version control with GitHub, streamlining deployment and collaboration in an agile environment
Built an Agentic AI-powered Role-Based Task Tracking System using Python, FastAPI, and MongoDB to automate task creation, assignment, and workload management.
Orchestrated multi-agent workflows with role-based access control (RBAC) and microservices architecture, enabling intelligent task prioritization and horizontal scalability Integrated LLM-powered decision-making via REST APIs and MongoDB, enhancing fault tolerance and real-time project visibility for improved team collaboration
LangChain Academy
LangChain Academy
IBM Developer Skills Network
Microsoft
Udemy