Data & AI Engineerbuilding what's next.
ML models, LLM & RAG applications, REST APIs and data pipelines — designed with care, shipped end to end.
Engineering Intelligence.
Data & AI Engineer with hands-on experience in Python, SQL, Machine Learning, Data Science, LLMs, RAG, FastAPI, and PostgreSQL. Experienced in data analysis, ML model development, AI applications, REST APIs, and data pipelines.
Machine Learning
Fine-tuning large language models, setting up semantic searches, and engineering agentic prompts.
Full-Stack Architect
Dockerized backend pipelines, highly interactive frontends, and low-latency API engines.
Education &
Credentials.
Graphic Era Hill University
Haldwani, Uttarakhand
Bachelor of Technology (B.Tech) in Computer Science and Engineering
TCS National Qualifier Test (NQT) 2025
Shortlisted for the Ninja role interview, qualifying in the Top 10% of candidates nationwide.
Advanced Certification in Data Science (ML)
Completed advanced certification in Data Science and Machine Learning at Seed Infotech (2026).
Python Development Internship Certificate
Completed Python development program at Cognifyz Technologies (2024).
National Basketball Championship Player
Represented Uttarakhand state at the National Basketball Championship, demonstrating excellent teamwork, leadership, and athletic execution under pressure.
Expertise & Technologies.
AI, ML & GenAI
Data Science & Analysis
Data Engineering
Databases & Backend
Tools & DevOps
Professional Experience.
Trainee Engineer – Data Science & AI/ML
Silicon Interfaces Pvt. Ltd. (Mumbai, India)
- Working on Data Science and Machine Learning solutions using Python, SQL, Pandas, NumPy, and Scikit-learn for data preprocessing, exploratory data analysis (EDA), and model development.
- Performing data cleaning, feature engineering, model evaluation, and SQL-based data analysis while gaining hands-on experience in real-world AI/ML workflows.
AI Engineer Intern
Northcorp Software
- Built 10+ REST API endpoints for AI-powered Talent Assessment Platform (TAP) using FastAPI and PostgreSQL — skill gap analysis, resume generation, and cover letter automation.
- Developed LLM features using Google Gemini API and RAG pipelines; managed PostgreSQL schema with SQLAlchemy async ORM, 5+ Alembic migrations, MinIO storage, and JWT + bcrypt auth.
- Deployed services via Docker Compose; contributed across design, development, and testing using GitLab workflow.
Featured Projects.
HR Leave Assistant
Built an AI HR leave agent with LangGraph and Google Gemini that lets employees apply for leave in plain English: it looks up the employee record, checks the request against the company rule book, and approves it (updating the database) or explains why not, via a Streamlit chat UI with employee and HR logins.
PHP Vibe Coder
Built an AI-assisted PHP development workspace with Streamlit and Google Gemini that turns plain-English requirements into complete PHP projects, using RAG over PHP docs (Sentence Transformers + FAISS) and auto-validating code with a self-healing debug agent.
WorkLens
Built an end-to-end employee attrition prediction system with an XGBoost classifier achieving 91% F1-score and 83% test accuracy, served via FastAPI with a React HR analytics dashboard.
ATS-Pro-Analyzer
Built an AI-powered ATS Resume Analyzer using FastAPI, NLP, Groq LLaMA-3, and JWT authentication to optimize resumes for maximum ATS compatibility.
House Price Prediction
Built a Machine Learning-based House Price Prediction system using Python, Pandas, NumPy, and Scikit-learn for predictive analytics and real-estate price estimation.
Courier Partner App
Developed a modern courier management application with optimized delivery workflow, responsive UI, and scalable backend architecture for efficient logistics management.
Matrix Calculator
Built a responsive Matrix Calculator using HTML, CSS, and JavaScript (ES6) supporting dynamic NxN matrix operations with optimized performance and glassmorphism UI.
Zomato Dashboard
Built a dynamic Zomato Excel Dashboard using Pivot Tables, KPI cards, slicers, and charts to analyze 197K+ food delivery records and generate business insights.
Exploratory Data Analysis
Performed Exploratory Data Analysis (EDA) using Python, Pandas, NumPy, Matplotlib, and Seaborn to analyze data patterns, correlations, and distributions to generate business insights.
Initiate Sequence.
Let's collaborate to architect robust machine learning engines, modern developer portfolios, or low-latency APIs.
DIRECT EMAIL
pathakshivam3738@gmail.com