Naman is a Data Analyst and LLM Trainer with experience in training AI models using real-world business data. He has worked on domain-specific query generation, SQL simulations, and model testing for major tech clients. He is skilled in prompt engineering, data structuring, and improving model accuracy for finance, healthcare, and SaaS sectors.
Experience
Business Analyst
TURING
Engineered end-to-end training pipelines for LLMs specialized in SQL generation and query understanding. Developed and curated tabular datasets for Finance and Pharma analyst roles. Led the SFT project for Meta, overseeing team workflows and quality assurance. Applied advanced fine-tuning techniques including SFT, RLHF, and RAG for enterprise clients like Apple and Meta.
Quant Developer
DIGITAL UPRISERS
Designed and implemented Arbitrage Algorithms for personal trading portfolios. Operated and improved a High Frequency trading (HFT) bot using LLM models, OpenAI, and Langchain. Utilized libraries such as Yfinance and PyAlgoTrade.
Data Analyst
EXULTSYS TECHNOLOGIES, BANGALORE
Implemented a Linear regression supervised machine learning model to predict student percentage scores based on study hours. Processed data from 9000+ schools and visualized results using Seaborn, Matplotlib, NumPy, and Pandas.
Education
Delhi Technological University, New Delhi
B. Tech
Software Engineering
Key Modules: Data Structures, Object Oriented Programming, Database Management System, C++
Licenses & Certifications
Data Analytics Course
PW Skills