Shantam Sharma

Hi, I'm Shantam Sharma

Master's Student, AI Systems at NUS

My coursework includes:
1. Pattern Recognition Systems
2. Intelligent Robotics Systems
3. Agentic AI Systems
4. Intelligent Reasoning Systems
Research interests: Embodied AI, Efficient AI, Reinforcement Learning

About Me

Welcome to my webpage. Here you'll find an exhaustive list of all projects I've worked on, skills I've acquired, and experiences that have shaped my journey in the realm of AI and Data Science.

I am passionate about leveraging AI to solve real-world problems and drive innovation. My expertise lies in Generative AI, Computer Vision, Natural Language Processing, and MLOps. I'm also quite intruigued by Reinforcement Learning and Agentic AI and have been developing my skills through my coursework at NUS.

My journey spans 5+ years as a Data Scientist delivering cutting-edge AI and ML solutions across various industries like Oil and Gas, Mining, Banking, Retail and Telecom. During my time at WWT, I excelled at working in cross-functional teams, across multiple time-zones and implementing cutting-edge solutions for our clients. Currently, I am a Research Intern at Singapore-MIT Alliance for Research and Technology (SMART), developing an online meta-learning system for adaptive algorithm selection in contextual bandit settings.

My Journey

High School 2014-2016
B.Tech, IIT Delhi 2016-2020
Senior Data Scientist 2020-2025
M.Tech, NUS 2025-Present
Graduate Student Intern at M3S, SMART Present

Featured Projects

A selection of impactful projects demonstrating expertise in AI/ML solutions

Currently Working On

Contextual Bandit-Over-Bandit Optimization - M3S, SMART

In Progress

Research on whether an online algorithm for policy selection can adapt to unknown reward function shapes without prior knowledge of which policy learns the best. A meta-bandit/expert observes MSE (or Doubly Robust MSE) signal to adaptively select from a portfolio of arm selecting policies — linear (LinUCB/LinTS), polynomial, and NeuralTS (NTK-at-init features) — each round, to consistently outperform any single fixed policy across diverse reward functions.

Contextual Bandits Online Meta-Learning Gaussian Process Neural Tangent Kernel Thompson Sampling MLflow PyTorch

GenAI for Asset Integrity and Process Safety

Completed

Mitigated risk of $10M+/year due to safety incidents at ADNOC by developing a comprehensive RAG agent with automated graph generation on top of Text2SQL engine to visualize latest trends and analyze hazardous events.

Langchain RAG Text2SQL BERT Azure ML
$10M+/year risk mitigation

Key Achievements:

  • Developed RAG agent with automated graph generation on top of Text2SQL engine to visualize latest trends
  • Utilized LLMs for trend analysis and key insights on hazardous events using prompt engineering & data manipulation
  • Devised control KPIs to indicate likelihood of hazardous events at each equipment and location in various assets
  • Performed benchmarking of pre-trained LLMs and fine-tuned BERT models for text-classification on Oil&Gas data
  • Deployed dockerized applications on AzureML and presented demo at ADIPEC conference

Vision Models for Real-Time Inspection

Completed

Minimized safety risks and operation downtime for PTFI by developing real-time anomaly detection models deployed on edge computing devices with optimized latency of 4 fps using TensorRT.

Computer Vision Autoencoder Siamese Network TensorRT Edge Computing
4 fps real-time inference

Key Achievements:

  • Explored efficacy of features using GLCM, Gabor filters, power spectral density and optical flow algorithms on mineral ore images
  • Analyzed texture, volume and flow rate properties of mineral ore through advanced image processing
  • Trained and fine-tuned anomaly detection models using Autoencoder and Siamese network architectures
  • Deployed final model on GPU-powered edge computing devices using TensorRT for optimized latency of 4 fps
  • Minimized safety risks and reduced operational downtime through real-time inspection capabilities

Want to see more of my work?

View All Projects

Skills & Technologies

Programming Languages

Python SQL Java C++

AI/ML Frameworks & Libraries

PyTorch Langchain OpenCV TensorFlow Scikit-learn NLTK SHAP Pandas NumPy Keras ROS2

AI Specializations

Prompt Engineering Large Language Models Computer Vision Natural Language Processing Deep Learning Machine Learning LLM Fine-tuning RAG Systems Reinforcement Learning

MLOps & Cloud

Docker Git Azure ML AWS SageMaker MLflow Kubernetes CI/CD Tensorboard

Visualization & Analytics

Matplotlib Plotly Seaborn Tableau

Soft Skills

Problem Solving Technical Leadership Project Management Client Communication Team Collaboration Mentoring

Get In Touch

Let's collaborate on your next AI project

LinkedIn

Connect with me professionally

linkedin.com/in/shantam98

Email

Drop me a message

shantam.sharma98@gmail.com

GitHub

Check out my code

github.com/shantam98

Location

Currently based in

Singapore

Resume / CV

Download my detailed CV to learn more about my experience and qualifications

Download CV View Online