Shyam Panwar
AI&ML Engineer || · Phagwara, Punjab, India
With 7 years of experience, I've built my career on a foundation of accountability and ambition — always owning my outcomes and pushing beyond the expected. I strike a natural balance between being approachable and assertive, making it easy for clients and colleagues to trust me while ensuring goals are met with clarity and confidence. Driven by a strong sense of autonomy, I thrive when given the space to take initiative and deliver results that speak for themselves.
Experience
Agent
· Present
- Developed an intelligent Chat AI Agent that dynamically invokes external tools (APIs, databases, or functions) using LLM-based natural language understanding.
- Designed conversational workflows, implemented tool-calling logic, and validated APIs and responses through Postman and Python tests.
- Logged issues via Jira and maintained test documentation.
- Outcome: Achieved 90%+ response accuracy and improved agent reliability in dynamic conversational tasks.
MLOPS Projects
· Present
- MLOps (Machine Learning Operations) is the practice of applying DevOps principles to machine learning systems.
- It focuses on streamlining the process of developing, deploying, monitoring, and maintaining ML models in production.
Projects
· Feb 2025 – Present
- STOCK TRADING USING REINFORCEMENT LEARNING--
- | Python, Gym, Pandas, Scikit-Learn: Developed an RL-based stock trading agent for buy/sell/hold decisions using historical market data.
- Implemented Q-Learning and Deep Q-Network (DQN), trained using OpenAI Gym and Yahoo Finance API.
- Integrated technical indicators (moving averages, RSI, MACD) for better trading strategies.
- Evaluated performance using Sharpe ratio and profitability metrics, enhancing adaptability for algorithmic trading.
Deployment Specialist
· Sep 2025 – Oct 2025
- Deployed scalable Nomad cluster using Terraform (IaC) on [GCP]; secured Nomad UI and deployed a containerized “Hello World” app to validate cluster operations.
- Built and automated Nomad cluster using Terraform (IaC).
- Secured UI access and validated deployment with containerized app.
Photo Specialist
· Jan 2025 – Jul 2025
- AI Enhancer – Real-Time Photo Enhancement App (Android).
- An AI-powered mobile application built using TensorFlow Lite and Jetpack Compose, designed to enhance and restore image quality on-device.
- The app performs real-time enhancement using deep learning models, improving image sharpness, contrast, and resolution with a user-friendly interface.
Researcher
· Aug 2024 – Dec 2024
- Conducted an in-depth study on optimizing robotic arm control using advanced Reinforcement Learning (RL) algorithms, including Q-Learning, Deep Q-Network(DQN), and Proximal Policy Optimization(PPO).
- Designed and implemented simulations in Python using OpenAI Gym and PyBullet, creating realistic robotic environments for training and testing.
- Developed custom reward functions and policy optimization strategies to improve precision, adaptability, and movement efficiency.
- Evaluated model performance using key metrics such as reward convergence, episode success rate, and error minimization.
- Contributed to improving error reduction and efficiency in automated robotic systems for real-world deployment.
Student
Lovely Professional University · Jul 2022 – Oct 2022
Proof of Work
Proof of Work
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Education
Bachelor of Technology - BTech, Computer and Information Sciences and Support Services
Lovely Professional University · 2022 — 2026
Bachelor of Technology, Computer Engineering
Lovely Professional University · 2022 — 2026
Degree
Lovely Professional University · 2022 — 2026
10th with Science
Grace Higher Secondary School
12th with Science
Grace Higher Secondary School
Contact details
Contact details
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