Rohit Kumar Singh
Development
Karnataka, India
Skills
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Applied Statistics
Management Consulting
Azure DevOps
Azure Web Apps
OpenAI
Retrieval-Augmented Generation (RAG)
SQL
Large Language Models (LLMs)
REST
JSON
About
Rohit, an experienced Data Scientist at IBM India, pursuing an MS in Artificial Intelligence from Scaler Academy, brings over eight years of expertise to your team. With a B.Tech in Computer Science and Engineering, specializing in Data Science, from NIIT University, he has led and implemented AI solutions across NLP, Machine Learning, and Generative AI for global clients like Vale, AT&T, and Lazada. Rohit excels in deploying AI applications in cloud environments, developing MLOps pipelines, and has strong technical proficiency in Python, SQL, Azure, AWS, LangChain, and Vector Databases. His leadership and problem-solving skills have been recognized with accolades, including the Manager’s Choice Award. Eager to contribute innovative solutions, Rohit seeks opportunities to leverage his background in data science and AI for organizational and client success.
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Acomplishments
Led a team of 3 engineers to develop a fully managed Telegram Bot for NUHS, facilitating candidate outreach and engagement. Implemented a RESTful API using FastAPI for real-time data processing and personalized responses using LLMs.
Developed a Natural Language to SQL/Python system at Vale, enhancing marketing intelligence insights. Integrated with Azure database infrastructure and provided a user-friendly interface via a Streamlit-based web application.
Work Experience
DATA SCIENTIST - ADVANCED ANALYTICS
IBM INDIA
October 2015 - Present
- Spearheaded NLP, Classical Machine Learning, and GenAI projects for global clients (Vale, AT&T, Lazada, FEO, NUHS) from requirement gathering to final deployment.
- Implemented AI solutions in production within cloud environments (Azure, AWS), enhancing data processing and analysis capabilities.
- Developed and maintained MLOps pipelines for efficient AI model deployment and scaling using tools like LangChain, LlamaIndex, Vector Databases, and Streamlit.
- Led a team of 3 engineers to create a fully managed Telegram Bot for engaging and marketing prospective candidates.
- Designed and implemented a RESTful API using FastAPI for real-time data processing and dynamic content delivery, including webhooks for instant updates.
- Created automated services that reply to incoming messages using LLMs for VALE SHIPPING.
- Used Generative AI to interpret and convert natural language into SQL/Python queries, integrating seamlessly with Azure database infrastructure and visualization tools.
- Developed a user-friendly Streamlit-based web application for VALE SHIPPING, ensuring ease of use for team members with fully automated deployment using WebApp and Azure DevOps.
- Created a full end-to-end solution in AWS and Streamlit for DSTA's Question Answering system using custom documents, integrated with Amazon Kendra, CloudFormation, Lambda, Cloud9, and Lex Chatbot.
- Automated the process of creating final applications from Request for Proposal documents for AT&T using consultant templates, with features like .docx parsing, text attribute identification, and output as JSON.
Education
Woold University
MS in Artificial Intelligence
February 2022 - March 2024
