Rahul Samant
Data Scientist | Machine Learning Engineer | AI Researcher
Aspiring Data Scientist with 2 production internships and hands-on experience building ML pipelines, recommendation systems, NLP models, and real-time inference APIs on AWS. Delivered measurable impact: 95% model precision, 5× throughput gains, 85% overhead reduction.
About Me
Data Scientist | Machine Learning Engineer
Aspiring Data Scientist with 2 production internships, hands-on experience building ML pipelines, recommendation systems, NLP models, and real-time inference APIs on AWS. Delivered measurable impact across projects: 95% model precision, 5× throughput improvements, and 85% reduction in operational overhead.
Strong foundation in statistics, regression, classification, clustering, neural networks, and MLOps. Comfortable shipping end-to-end systems using Python, PyTorch, TensorFlow, LangChain, FastAPI, Docker and Kubernetes.
Professional Experience
Generative AI Engineer Intern
Embedded Control Systems
Architected AI-native products using multi-agent workflows, production infrastructure, and automated data extraction to accelerate delivery across cross-functional teams.
Technologies Used
Key Achievements
- Architected intelligent meeting management system using LangGraph multi-agent workflow that automates scheduling, conducts real-time transcription, and generates actionable summaries, reducing meeting overhead by 85% for 5-member team.
- Built production-grade infrastructure on AWS EC2 with MongoDB and FastAPI, serving 3 revenue-generating MVPs with ₹1k MRR and 99.99% uptime.
- Engineered automated Google Maps scraper using LangGraph agents, extracting 50k+ business listings with 95% accuracy and reducing manual research time from 8 hours to 15 minutes.
- Built AI tool recommendation system that suggests productivity tools to non-technical team members based on their workflow patterns, reducing manual task completion time by 45% and improving cross-departmental efficiency.
AI Engineer Intern
Xzayogn (EdTech)
Developed AI-powered job-application automation and search systems to streamline candidate workflows and improve interview conversion rates.
Technologies Used
Key Achievements
- Developed end-to-end job application automation reducing user effort from 6 hours/week to 8 minutes while improving interview rates from 3% to 18%.
- Implemented memory-augmented search with 90%+ relevance filtering across 8 major job boards, eliminating 97% of irrelevant listings.
- Built ATS optimization engine achieving 95%+ ResumeWorded scores through intelligent keyword integration and quantified achievement matching.
- Deployed scalable microservices on AWS Lambda/BeanStalk with TypeScript frontend, serving 50+ beta users.
Python Developer Intern
Infosys Springboard
Built multi-agent scraping and retrieval systems to monitor global e-commerce data and enable fast, natural-language access for analysts.
Technologies Used
Key Achievements
- Engineered Scrapion multi-agent system monitoring 15 global e-commerce sites with 50k+ weekly SKU extraction and RAG-powered enrichment.
- Achieved 5x throughput improvement through async Playwright implementation with hourly data freshness for Fortune-500 retail clients.
- Built natural language query interface using Streamlit and LangChain, delivering sub-second retrieval for business analysts.
Featured Projects
A selection of my best work showcasing various technologies and skills
movie_reservation_system
A comprehensive cinema ticket reservation system built with FastAPI, implementing Clean Architecture and Domain-Driven Design principles. This project demonstrates modern backend development practices with a focus on maintainability, scalability, and testability.
AMD_AI_SPRINT_HACKATHON
Create an AI assistant that eliminates the back-and-forth of meeting coordination by autonomously scheduling, rescheduling, and optimizing calendars.
agentic_rag_crewai
A powerful Retrieval-Augmented Generation (RAG) system built with CrewAI that intelligently searches through documents and falls back to web search when needed. Features local LLM support with deep-seek-r1 or llama 3.2!
Trip_Planner-using_CrewAI
Trip Planner leverages the CrewAI framework to automate and enhance the trip planning experience, integrating a CLI, FASTAPI, and a user-friendly Streamlit interface.
quickref
A terminal-first knowledge base for developers who want fast note capture and retrieval with plain Markdown files.
Skills & Expertise
Core Expertise in AI & Data Science
Machine Learning
Advanced algorithms, feature engineering, model optimization
Deep Learning
Neural networks, computer vision, NLP models, transformers
LLM Applications
LangChain, prompt engineering, RAG systems, chain-of-thought
AI Agents & Workflows
LangGraph, autonomous agents, multi-agent systems, agent memory
Technical Skill Set
Python Ecosystem
Expert-level Python programming with specialized data science libraries
AI & ML Frameworks
Building intelligent applications with state-of-the-art AI/ML frameworks
Data Engineering
Complete data pipeline creation from collection to storage and retrieval
DevOps & Cloud
Deploying and scaling ML solutions in production environments
AI Application Focus Areas
NLP & Text Analytics
Sentiment analysis, text classification, document summarization, translation
Conversational AI
Custom chatbots, agent personas, memory management, prompt engineering
Knowledge Management
Retrieval-augmented generation (RAG), semantic search, document query systems
Agent Workflows
Multi-agent systems, autonomous task execution, reasoning agents for complex problems
My Data Science Workflow
1. Data Acquisition
Collection, APIs, scraping
2. Preprocessing
Cleaning, transforming, EDA
3. Modeling
ML/DL models, LLMs, fine-tuning
4. Deployment
APIs, containers, monitoring
Education & Achievements
Education
Punjab Engineering College
Bachelor of Technology in Computer Science Engineering
City Convent School
Senior Secondary Education, CBSE
- Percentage: 95.00%
City Convent School
Secondary Education, CBSE
- Percentage: 90.00%
Achievements & Extra Curricular
- 1
GATE 2026 (Design & Analysis): AIR 450 (Score 683) — validates strong ML, mathematics, probability & CS fundamentals.
- 2
LeetCode rating 1976 with 300+ solved problems and a high acceptance rate.
- 3
Top-10 Finalist — AMD × IIT Bombay AI Hackathon 2025; multiple open-source PRs merged (LangChain, LangGraph, Gradio).
Skills Development
I continuously focus on improving my technical and soft skills through:
- Online courses and certifications
- Open source contributions
- Hackathons and coding competitions
- Technical workshops and webinars
- Self-learning and practical projects
Professional Resume
My Professional Resume
Here you can view or download my complete resume, which includes detailed information about my skills, experience, education, and achievements.