Tarun Negi

Data Scientist

Bengaluru, Karnataka, India1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building multi-agent LLM workflows.
Proficient in developing production-ready GenAI services.
Strong background in demand forecasting using ML.

Stackforce AI infers this person is a skilled Data Scientist specializing in AI and Machine Learning applications.

Contact

Skills

Core Skills

Machine LearningGenerative AiNatural Language Processing (nlp)Aws Sagemaker

Other Skills

APIsForecastingComputer VisionSQLfast apiAzure OpenAIAzure function appLarge Language Models (LLM)AgentsPyTorchAPIAzure DatabricksMicrosoft Copilot StudioApache SparkComputer Science

About

I actively share simplified explanations of 𝗔𝗜 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 to help learners understand why things work, not just how. Working hands-on with 𝗠𝗟 𝗮𝗻𝗱 𝗚𝗲𝗻𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, with a strong focus on how models perform in 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀. Actively building toward an 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 / 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 path.

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Tredence inc.

Data Scientist

Sep 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

1. Built multi-agent LLM workflows and integrated via secure APIs for analytical and reasoning tasks.
2. Worked on Text-to-SQL GenAI systems enabling natural language querying on enterprise-scale databases.
3. Developed production-ready GenAI services using FastAPI and Azure, implementing authentication, caching, and response optimization.
4. Worked on demand forecasting solutions using Prophet, leveraging seasonality, promotional effects, and historical trends to improve forecast accuracy.
5. Contributed to building reusable ML and GenAI pipelines, improving code consistency, scalability, and maintainability across projects.

Machine LearningGenerative AI

Aicte neat

Intern

Dec 2022 – Feb 2023 · 2 mos · Virtual Internship · Remote

1. Developed and deployed ML pipelines on AWS SageMaker for forecasting, computer vision, and NLP tasks.
2. Managed multiple ML services to deliver accurate and production-ready models.

Natural Language Processing (NLP)AWS SageMaker