Mohit Chhajed

About Mohit Chhajed

m••••••••@gmail.comStrong background in the financial services industry with a Masters in Data Analytics / Data Science Data Analysis/wrangling skills using Excel/SQL/Python/AltryexData Visualisation and storytelling skills using PowerBI/Tableau/LookerCloud Computing skills in Azure/AWS/GCP Dedicated technology professional with a demonstrated track record of success in implementing high-performance data and business solutions. Proficient in spearheading Business Intelligence and Advanced Analytics initiatives, I bring a balanced leadership style that emphasizes both results and fostering a collaborative environment. My commitment to continuous learning and knowledge sharing ensures the development of innovative solutions while nurturing a culture of growth. Skilled in effectively managing diverse stakeholders to deliver customized solutions that meet user needs and drive business objectives forward.

Experience

1. Ai Ml Engineer

   CloudMoyo

   Jul 2024 — Present · Bellevue, WA, US

   As part of the AI Innovation team, I work on designing, building, and deploying intelligent systems that solve real-world problems at scale. My work blends large language models (LLMs), retrieval-augmented generation (RAG), automation, and cost-efficient deployment — always focused on business value and user experience. Key Contributions & Projects:1⃣ HR Policy Chatbot on Microsoft TeamsDeveloped and deployed an internal chatbot leveraging GPT-4o Mini, LangChain, and ChromaDB, integrated within Microsoft Teams. Achieved 95% retrieval accuracy Reduced HR queries by 60% Designed for 80% cost reduction in long-term query handling2⃣ LLM-Powered Contract Clause Extraction ToolLed the development of a clause extraction and retrieval platform using LLaMa, LLaMaIndex, BM25, Qdrant, FastAPI, and Streamlit. Scaled to users Boosted user engagement from 65% to 80% Reduced token costs by 70% with a custom LLaMa pipeline Improved retrieval precision by 40%3⃣ Agentic B2B Lead Gen AI WorkflowBuilt an agent-based system for B2B lead generation using AutoGen, GPT-4, and HubSpot integrations, automating outreach and lead qualification. Increased lead conversion potential by 40% Streamlined and scaled lead funnel automation4⃣ LLM Optimization & Strategic PlanningOptimized on-premise LLM systems through prompt engineering, fine-tuning, and quantization. Improved knowledge extraction by 40% Reduced processing time by 25% Authored BRDs and conducted cost-benefit analysis, saving 20% in resource allocation5⃣ Tableau to Power BI Dashboard AutomationAutomated the transformation and migration process of dashboards from Tableau to Power BI, streamlining reporting workflows. Reduced manual effort and report update time Improved cross-platform data consistency and delivery

Education

• Northeastern University

  Master of Science - MS, Data Analytics Engineering

• Shri Ramdeobaba College of Engineering and Management

  Bachelor's degree, Electronics And Communications Engineering

  2014 — 2019