Sarvesh

GenAI Engineer with 4+ years of experience building scalable backend systems, enterprise platforms, and production-

grade AI workflows. Specialized in RAG pipelines, LLM evaluation, and agentic architectures using LangChain, Lang-

Graph, pgvector, FastAPI, Django, Docker, AWS, and PostgreSQL.

GenAI Engineer | LLM Evaluation | RAG, LangChain, LangGraph, AI Agents, Prompt Engineering, Agentic System | Python (FastAPI, Django) | Docker, AWS |

Aditya Birla Group Mumbai

AI Full Stack Engineer Mar 2025 – Present

• Grant Management System (GMS): Architected and developed an enterprise-grade funding workflow platform using Next.js, Django REST, Docker, and AWS. Implemented role-based access control (RBAC), multi-level approval workflows, audit logging, and integrations such as calendar scheduling and notification systems for complex organiza-

tional processes.

• Tick Monitor: Designed and built a scalable project and task management system using FastAPI, Next.js, and

PostgreSQL. Engineered JWT-based authentication, multi-tenant vertical architecture, role-based workflows, and optimized schema design for secure and efficient operations.

• Rambo (Agentic AI Platform): Designed and evolved a RAG-based system into a multi-agent LLM execution pipeline using LangChain, LangGraph, and pgvector. Built semantic retrieval pipelines, agent orchestration layers,

and structured reasoning workflows using OpenAI, Anthropic, and Gemini models.

• Implemented asynchronous processing using Celery and Redis for background jobs, distributed workflows, and system scalability across services.
• Improved production reliability through circuit breakers, retry mechanisms, API rate limiting, and centralized observ-

ability for monitoring and debugging.

• Developed highly responsive user interfaces using React, TypeScript, Tailwind CSS, and Radix UI integrated with scalable backend APIs and real-time workflows.

Turing Remote

Full Stack Developer Oct 2024 – Jan 2025

• Enhanced and validated Large Language Model (LLM) outputs for production applications using structured testing and evaluation workflows, improving response accuracy, contextual relevance, and reliability.
• Built scalable frontend and backend solutions using JavaScript, TypeScript, Node.js, Next.js, and React in distributed development environments.
• Performed code reviews ensuring adherence to architectural standards, clean coding practices, and performance opti-

mization.

upGrad Bengaluru

Technical Product Manager Sep 2023 – Apr 2024

• Led development of the OdinSculpt platform using Next.js, React.js, and Node.js microservices, reducing deployment time by 40% through improved release planning and execution.
• Built real-time collaboration systems using WebSockets, improving interaction efficiency and reducing response latency by 60%.
• Integrated CleverTap analytics to track user behavior and optimize product decisions, resulting in a 25% increase in user retention.

Chesa Bengaluru

Full Stack Developer Jul 2021 – Sep 2023

• Engineered healthcare communication and workflow systems using React.js, Redux, Node.js, Next.js, AWS, and Ex-

press for enterprise use cases.

• Developed scalable distribution and ERP-style platforms using HTML5, CSS3, Tailwind CSS, JavaScript, MySQL,

PHP, and REST APIs.

• Implemented JWT-based authentication and Redux state management to ensure application security, maintainability,

and consistency.

• Led SEO and platform optimization initiatives increasing organic traffic by 50% and lead generation by 30%.

Bachelors in Information Technology