Noida Institute of Engineering and Technology, Greater Noida
2022 - 2026AI/ML Engineer | Data Science | RAG Systems
Abhinav Kumar Chaudhary
Information Technology undergraduate and AI/ML engineer candidate with hands-on experience in machine learning, data science, NLP, RAG systems, computer vision, and analytics. I build practical AI products with clear use cases, strong technical foundations, and production-oriented thinking.
About
Built for teams that value technical depth, practical execution, and ownership
My work sits at the intersection of data science, machine learning, backend systems, and product thinking. I enjoy building projects that move beyond notebooks into usable products: predictive systems, multilingual assistants, document intelligence tools, business dashboards, and end-to-end AI workflows.
I am especially interested in roles where engineering quality matters as much as model performance: clean APIs, explainability, real business use cases, and interfaces that help people trust the output.
What I Build
ML pipelines, RAG systems, conversational AI, OCR-based applications, and analytics products.
How I Work
Problem-first, ownership-driven, and focused on delivery quality rather than isolated demos.
Where I Add Value
Applied AI roles that need both strong implementation and clear communication of impact.
Projects
Selected projects that show technical range and practical problem-solving
Applied AI Product
FormSathi
An end-to-end AI document intelligence platform for form understanding, multilingual assistance, and guided completion.
LLM + RAG System
LexiMind AI
A dual-mode AI assistant that switches between general LLM chat and document-grounded retrieval for higher-quality answers.
Data Science + Machine Learning
Customer Churn Prediction System
An end-to-end churn prediction system with feature engineering, explainability, experiment tracking, and deployment-ready serving.
Computer Vision
AI Virtual Mouse
A webcam-based virtual mouse that maps hand gestures to cursor movement and click actions in real time.
Data Science / EDA
Netflix Content Analysis
An exploratory analysis of Netflix content trends, genre behavior, ratings, and audience-oriented distribution patterns.
Power BI / Business Intelligence
HR Analytics Dashboard
A Power BI dashboard for analyzing employee attrition across salary, role, education, age, gender, and tenure.
Experience
Hands-on internship experience with measurable engineering outcomes
- Engineered and optimized ML models with Python, Scikit-learn, and Pandas, improving predictive accuracy by 15%.
- Applied feature engineering, preprocessing, and hyperparameter tuning in real project workflows.
- Worked in a 5-member AI team to deliver API-based ML automation solutions that reduced processing time by 30%.
Skills
Core tools and capabilities across
machine learning, AI applications, and analytics
Languages and Databases
Python, SQL, MySQL, JavaScript
Statistics and Probability
Probability Theory, Probability Basics, Bayes Theorem, Bayesian Inference, Normal Distribution, Distributions, Central Limit Theorem (CLT), Mean and Variance, Hypothesis Testing, Statistical Analysis, Correlation, Feature Analysis, and Data Interpretation
Machine Learning and Data Science
Classification, Regression, Clustering, Ensemble Methods, EDA, Feature Engineering, Model Evaluation
LLM and RAG Systems
LangChain, FAISS, HuggingFace Embeddings, Groq LLM, Prompt Engineering, OCR, Retrieval Workflows
Frameworks and Tools
FastAPI, Flask, Streamlit, Scikit-learn, TensorFlow, Pandas, NumPy, Power BI, Git, GitHub
Credentials
Education, certifications, training,
and leadership experience
Education
Bachelor of Technology in Information Technology
Noida Institute of Engineering and Technology, Greater Noida
August 2022 - May 2026
Certifications and Training
- Python for Data Science, AI and Development - IBM / Coursera
- Data Scientist (Python) - NCET+
- Data Science and Machine Learning Training - My Anatomy
Leadership
- Head Coordinator, Green Gold Society (NIET), driving 30%+ engagement growth across 1,000+ students.
- Team Lead, Mera Kisan App and 2+ additional projects across 5-member Agile teams.
Contact
Open to AI/ML, data science,
analytics, and software opportunities
If you are hiring for roles that value applied machine learning, LLM systems, analytics, and engineering ownership, I would be glad to connect.