About Me
Ramsundar Mahato
Hi there! I'm Ramsundar, an AI Engineer & Data Scientist at Genpact, where I build practical AI systems, agentic workflows, and data-driven solutions that developers and teams can use right away.
With 7+ years of experience, my work spans Data Science, Statistical Computing, Generative AI, ML/DL, and hands-on engineering — from building multi-agent LangGraph applications to deploying production-grade forecasting, NLP, and predictive models.
I also share knowledge through webinars, courses, and YouTube content, making ML/LLMs accessible for beginners and practitioners.
What I Work On
- 🧠 AI Agents & Automation — orchestrators, tool-calling agents, LangGraph pipelines, local + cloud LLM agent apps
- 🔍 Search & RAG Systems — embeddings, hybrid search, ChromaDB, document intelligence
- 📦 Ready-to-run Projects — clone → install → run examples for agents, RAG, phishing detection, and data apps
- 🧪 Fine-Tuning Experiments — DistilBERT, MiniLM, TinyLlama, T5, ELECTRA, URLNet
- ⚙️ MLOps & Engineering — W&B, PyTorch Lightning, FastAPI, Streamlit
- 💬 Teaching & Webinars — ML/AI foundations, agentic workflows, hands-on demos
Experience
Lead AI Engineer
Genpact January 2023 - PresentBuilding and deploying AI systems and agentic workflows for enterprise clients.
Technology: LangChain, LangGraph, PyTorch, TensorFlow, Hugging Face, FastAPI, Streamlit, AWS/GCP, Docker, Kubernetes
- Architected and implemented multi-agent systems using LangGraph for complex business workflows
- Designed and deployed RAG systems with hybrid search capabilities for enterprise knowledge bases
- Led a team of data scientists and ML engineers in developing production-ready AI solutions
- Created reusable components and frameworks for rapid AI application development
- Optimized LLM inference pipelines for cost and performance in production environments
Data Scientist & Techno-Product Manager
Thoucentric July 2022 - December 2022Served as a Techno-Product Manager, directly collaborating with enterprise clients (including Unilever) to translate business needs into technical deliverables.
Technology: ML Algorithms, Neo4j, RAG Systems, LangChain, EDA, BitBucket, Time Series Analysis, OOPS, Excel, AWS S3, Git, Confluence, PowerPoint.
- Served as a Techno-Product Manager, directly collaborating with enterprise clients (including Unilever) to translate business needs into technical deliverables
- Contributed to one of Unilever's major internal AI assistants for R&D scientists, utilizing:
- Knowledge Graphs (Neo4j)
- Agentic AI frameworks
- Search, retrieval, and orchestration pipelines
- Gained substantial experience in product delivery, requirements gathering, customer handling, and cross-functional coordination
- Worked closely with engineering and business teams to ensure smooth release cycles, feature prioritization, and stakeholder alignment
- Designed and developed a predictive analytics model to assess the probability of non-compliant or high-risk store behavior, enabling improved monitoring and decision-making
- Built a complete end-to-end data science pipeline, including data ingestion, preprocessing, feature engineering, model experimentation, evaluation, and production deployment
- Performed extensive multivariate analysis to uncover relationships between store attributes, risk indicators, and operational trends
Associate Data Scientist
Capgemini August 2021 - June 2022Demand Forecasting of Empty Containers and Optimizing Route to Demand Origin
Technology: Linear programming, Python, Data Pipelining, DOMINO, Machine Learning, XGB, Random Forest, MS PowerPoint.
- Utilized and deployed XGBoost Model for Forecasting 60, 90, 120 days for all the DFUs
- Applied Linear Programming and Ant Colony Optimization Theory for identifying feasible solutions for all routes (P-to-P)
- Built Optimization Model to maximize the utilization of containers and reduce transportation costs
- Created Databricks Jobs with whl file and connected to Airflow DAG
- Docker container setup for Airflow-DAG and implemented scheduled execution of Task-Flow for Databricks Jobs
Data Scientist I
Networth Corp August 2019 - July 2021Collaborates with product teams to build, deploy ML systems for strategic planning and cornerstone for other AI, ML products.
Technology: Python, Statistics, Machine Learning, Advanced Excel, Keras, MS PowerPoint.
- Collected, studied and interpreted large datasets; conducted reports and performed accurate and successful data management
- Collaborated with stakeholders to minimize warehouse and plant loss for the largest volume brewery firm
- Performed Exploratory Data Analysis to investigate client data to spot anomalies and patterns
- Created a customized Dashboard for reporting sales, inventory, and marketing data
Software Developer Intern
Apex TG India Pvt Ltd. June 2017 - July 2017Developed a Payroll System for the company during the internship period.
Technology: Java, Servlet, Session, JSP, SQLite, Spring.
- Used different spring components like Spring Core, Spring JDBC to manage business layer
- Proficiency in Java, J2EE (JSP, SERVLETS and REST Web services) and frameworks like Spring MVC
- Creating database schema that represent and support business processes
- Mentored team members and reviewed their deliverables
Skills
Programming Languages
Cloud & DevOps
AI & Machine Learning
Tools & Frameworks
AI/ML Specializations
- Multi-agent Systems & Workflows
- RAG Architecture & Implementation
- Model Fine-tuning (DistilBERT, MiniLM)
- LLM Orchestration & Tool Usage
- Predictive Analytics & Forecasting
- Generative AI Applications
Data Engineering
- Data Pipeline Architecture
- ETL/ELT Process Design
- Vector Databases (ChromaDB)
- Feature Stores Implementation
- Real-time Data Processing
- Cloud Data Warehousing
MLOps & Deployment
- ML Model Deployment (Cloud/On-prem)
- Experiment Tracking (W&B, MLFlow)
- CI/CD for ML Systems
- Model Monitoring & Observability
- Containerization & Orchestration
- Production ML System Design
Education
MSc in ML & AI
- Published Paper based on advanced ML techniques
- Specialized in deep learning and natural language processing
Bachelor of Engineering, Computer Science
- Got 1st in ProTyping organized by UTKRISHT 2017
- Got Letter of Recommendation from Director, UTU for Developing Website
- Participated in Smart India Hackathon 2017 & 2018
- Got selected for making Human and Object Detection for Final year Project
High School (10th + 2)
- State Level Cricket Player
- District Level Badminton Player
- Athletes