Chirag Goyal — Data Scientist
I am an AI Engineer / Data Scientist with hands-on experience in building scalable AI and ML solutions, including LLMs, GenAI systems, advanced NLP applications and reinforcement learning. My work spans end-to-end model development, from data preprocessing to deployment, leveraging cutting-edge frameworks and cloud platforms. I bring strong problem-solving skills honed through proficiency in Data Structures and Algorithms (DSA) and a solid foundation in computer science fundamentals, including Object-Oriented Programming (OOP) and Operating Systems (OS). Additionally, I have a strong mathematics background in Probability, Statistics, Linear Algebra, and Calculus, which allows me to develop effective solutions to complex problems. Professional Highlights: • Fine-tuned LLMs using RLHF, LoRA, and DPO techniques, achieving significant performance improvements. • Developed Agentic RAG based Hybrid Recommendation systems. • Created scalable RAG-based applications with LangChain, Pinecone/Weaviate/FAISS, Knowledge Graphs and AWS Bedrock. •Worked extensively with transformer-based architectures and attention mechanisms. • Worked with Multimodal LLM usecases for conversational tasks. • Optimized Deep learning models with pruning and quantisation. • Developed and optimized traditional ML Regression models, such as Random Forests, XGBoost, and Logistic Regression. • Extensively worked on EDA and feature engineering. • Worked with clustering algos like K-means, DBSCAN & GMM. • Built Deep Learning systems using LSTMs, RNNs, and Transformer architectures. • Designed Deep Reinforcement Learning models for optimization use cases. • Developed end-to-end pipelines and dynamic model deployment using best MLOps practices. Skills: * Languages: Python, Java, SQL * Development: Machine Learning, Deep Learning, Reinforcement Learning, NLP, GenAI, LLMs * Frameworks & Tools: PyTorch, TensorFlow, Scikit-learn, LangChain, Langgraph, CrewAI, Docker, CI/CD, MLflow * Traditional ML: Regression, Classification, Ensemble Models, Hyperparameter Tuning * Deep Learning: LSTM, RNN, GRU, Attention Mechanisms, Transformer Architectures * NLP & Transformers: BERT, GPT, Llama, Hugging Face Libraries, Text Classification, Sentiment Analysis * Data Engineering: ETL Pipelines, MongoDB, MySQL, RAG Systems, Neo4j * Cloud Platforms: AWS,Azure * Other: Git, REST APIs, Selenium, Data Visualization (Matplotlib, Seaborn) ✉️ chirag.goyal.mail@gmail.com Last Updated: 7th Feb 2025
Stackforce AI infers this person is a Data Science and AI professional with a focus on scalable solutions and advanced algorithms.
Location: Bengaluru, Karnataka, India
Experience: 2 yrs 8 mos
Skills
- Reinforcement Learning
- Recommender Systems
- Natural Language Processing (nlp)
- Optimization
- Generative Ai
- Machine Learning
- Artificial Intelligence (ai)
- Data Science
- Web Scraping
- Data Analytics
Career Highlights
- Expert in building scalable AI and ML solutions.
- Proficient in advanced NLP applications and reinforcement learning.
- Strong mathematics background enhances problem-solving capabilities.
Work Experience
Meesho
Data Scientist - I (1 yr)
Data Science Intern (2 mos)
Genpact
AI/ML Research & Development Intern (5 mos)
Mercedes-Benz India
AI/ML R&D Intern (2 mos)
DoIT&C : Department of Information Technology & Communication, Government of Rajasthan(India)
Machine Learning Intern (2 mos)
Birla Institute of Technology and Science, Pilani
Research Collaborator (3 mos)
Team Anant
Applied Scientist (1 yr 8 mos)
Education
B.E. at Birla Institute of Technology and Science, Pilani
at National Academy, Alwar
at Hans International School
