Afreen Tyagi
@Atyagi18
Software Engineer at L&T Technology and Services
Muzaffarnagar, Uttar Pradesh, India
Afreen Tyagi is an AI/ML Engineer at L&T Technology and Services, specializing in LLM and RAG systems, agentic automation, and domain-specific NLP. They have experience building production-ready prototypes and delivering automation for regulated medical-device workflows. Afreen holds an M.Tech in Electronics and Communication Engineering from Jamia Millia Islamia with a 9.7/10 GPA and has been recognized with a Merit Scholarship and a Spot Award for outstanding performance.
Experience
Software Engineer
L&T Technology and Services
Developing a multi-AI agent system to autonomously manage test execution and evidence reporting for a medical device software platform. Architected an end-to-end system using DeepSeek-V2 and dynamic prompt engineering to translate natural language requirements into embedded C code. Designed a dual-architecture COM API test framework for medical devices and engineered a PyQt5-based UI for configuring CAN communication protocols.
Data Science Intern
OASIS Infobyte
Developed and optimized predictive models for sales forecasting and economic analysis using ensemble methods. Engineered end-to-end ML pipelines encompassing data preprocessing, feature selection, and model validation. Implemented evaluation frameworks with cross-validation and hyperparameter optimization.
Internship
Bharat Heavy Electricals Limited
Four-week training on CNC machine drive and PLC. Provided hands-on practice in operating CNC machines under supervision.
Education
Jamia Millia Islamia University (JMI)
M.Tech
Electronics and Communication Engineering
Shri Ram Group of Colleges (SRGC), AKTU
B.Tech
Electronics and Communication Engineering
Licenses & Certifications
Large Language Model
Udemy
Natural language Processing
Nvidia
Statistics in Machine Learning
Coursera
Neural Network and Deep Learning
Udemy
Building RAG Agents with LLMs
NVIDIA
Building Generative AI Applications
Amazon Bedrock, Hugging Face, AI21