Sarthak Sharma

About Sarthak Sharma

Building production-ready AI and machine learning systems with a strong focus on Generative AI, Large Language Models (LLMs), Model Context Protocol (MCP), and NLP. Experienced in designing and deploying AI Agents that automate workflows, generate insights, and accelerate decision-making across data-driven processes.Proficient in creating intelligent automation pipelines using LLMs, knowledge graphs, retrieval-augmented generation (RAG), and context-aware architectures to unlock semantic search, task automation, and predictive intelligence. Skilled in enhancing operational efficiency by integrating Generative AI-based agents into analytics workflows and self-service systems that generate code, insights, and scalable solutions.Technical expertise includes Python, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, and vector databases — combined with experience in scalable model deployment, MCP-enabled pipelines, and cloud-based AI workflows. Academic foundation in Data Science and Statistics with research experience in NLP.Driven by building ethical, scalable, context-aware AI systems that automate complex workflows and empower smarter business outcomes.

Experience

1. Ai Software Engineer

   Inncretech

   Feb 2025 — Present · Princeton, NJ, US

   Designed and implemented a hybrid Knowledge Graph + Semantic Search system over PDFs and tabular data, using query planning and parallel retrieval, improving answer accuracy by 35% and reducing response latency by 30% for complex user queries.• Developed an interactive ML Dashboard enabling users to upload or connect datasets and perform machine learning analysis.Added automated evaluation metrics for various ML techniques, leading to a 40% reduction in model testing time and 30% increase in user engagement on the platform.• Built a dynamic SQL Agent using LangGraph, capable of handling schema-driven natural language queries. Enabled features such as query generation, optimization, and debugging, resulting in a 45% improvement in query resolution speed and 25% reduction in manual SQL writing errors.• Developed intelligent automation agents for Jira, Salesforce, HubSpot, and pipelines with MCP integration and Human-in-the-Loop approval for write operations; improved automation, data accuracy, and reduced manual effort by 40%.• Built a Python Agent for data-related queries that generates Python code, tables, analysis, and Plotly charts; enabled self-service analytics and reduced manual analysis time by 50%.

Education

• Choudhary Charan Singh University, Meerut

  BCA (Bachelor of Computer Application), Information Technology

  2018 — 2021

• Zero To Mastery Academy

  TensorFlow Developer Certificate in 2021: Zero to Mastery, Computer Programming

  2021 — 2021

• Graphic Era Hill University

  Master's of science , Data Science