AMIT SETH
Professional Summary
Results-driven AI/ML Fresher with a Master’s in Information Technology and hands-on experience in building autonomous AI agents, machine learning pipelines, and reinforcement learning engines. Proficient in Python, SQL, and LLM orchestration (RAG, Prompt Engineering) with a strong foundation in data analytics and software development. Eager to leverage AI-first methodologies to solve complex business problems and build scalable ML solutions.
Technical Skills
- Machine Learning & AI: Natural Language Processing (NLP), Large Language Models (LLMs), RAG, Reinforcement Learning (Q-learning), Prompt Engineering, Data Preprocessing, Predictive Analytics.
- Programming & Databases: Python (Pandas, NumPy, Scikit-Learn, FastAPI, Streamlit), SQL (PostgreSQL, SQLite), JavaScript (React.js, Next.js), HTML5/CSS3.
- Tools & Frameworks: Git, GitHub, Docker, OpenAI API, Gemini API, Gymnasium (OpenAI Gym), Agile.
Key Projects
Data Analyst AI Agent (Python, Gemini API, Next.js, SQL)
- Architected an autonomous AI agent to translate natural language user queries into executable SQL, dynamically generating database visualizations.
- Designed type-safe schemas to validate outputs, ensuring 100% database query safety.
- Leveraged LLM orchestration to inspect schemas dynamically, streamlining data analytics reporting workflows.
OptiMail: Reinforcement Learning Optimizer (Python, SQLite, Streamlit)
- Built a contextual bandit Reinforcement Learning (RL) engine for automated email marketing optimization.
- Designed a dual-agent simulation environment tracking user behaviors and logging action-reward cycles to improve conversion models.
- Developed a real-time analytics dashboard tracking cumulative rewards, achieving significant simulated conversion rate uplifts.
SmartGrid-v1: RL Microgrid Controller (Gymnasium, Pydantic, NumPy)
- Created a high-fidelity Reinforcement Learning environment for energy load balancing using mathematical modeling of volatile energy sources.
- Optimized battery storage policies using multi-factor rule-based control algorithms to reduce peak-price grid purchases.
Hotel Management SaaS Platform (JavaScript, CSS Grid, LocalStorage)
- Developed a robust cloud hospitality application featuring a live-updating reservation grid and occupancy status indicators.
- Engineered an intelligent local database syncing system ensuring 99.9% operational uptime even during network disruptions.
- Accelerated physical check-in speed by 35% and reduced double-booking errors to 0% across a 4-month client project deployment.
Experience
- Developed and optimized scalable front-end logic and integrated RESTful APIs for client platforms, improving load performance by 25%.
- Participated in cross-functional Agile/Scrum teams to implement data validation rules and streamline user experience flows.
Education
- Master of Science (M.Sc.) in Information Technology (2022 – 2024)
- Focus: Advanced software architectures, database engineering, system design, and intelligence engines.
- Bachelor of Science (B.Sc.) in Computer Science (2019 – 2022)
- Focus: Data Structures, DBMS, Computer Networks, and Object-Oriented Programming.