Learning-Based Locomotion Control
Developing reinforcement-learning and policy-optimisation controllers for quadruped and humanoid locomotion in Isaac Lab and MuJoCo.
- Reinforcement Learning
- Isaac Lab
- MuJoCo
- Robotics
AI/ML and software engineer in Singapore
JAYCHAWLA
I turn complex data into systems people can actually use.
Computer engineering graduate student working across machine learning, data systems, robotics simulation, and full-stack development.
Selected work
Projects built around real problems.
Procurement Intelligence
Four machine-learning analytics modules and a conversational interface built on procurement data spanning eight source tables.
- Python
- scikit-learn
- Streamlit
- Rasa
- SAP
IoT Failure Detection
An ESP32 and MicroPython monitoring pipeline using MQTT, ThingSpeak, and MATLAB to classify normal and failure states.
- ESP32
- MicroPython
- MQTT
- MATLAB
Multi-Objective Optimisation
NSGA-II across four benchmark and engineering problems, including a three-objective crashworthiness model with five design variables.
- NSGA-II
- Optimisation
- Pareto Fronts
- Python
Local Discovery Platform
A Yelp-style discovery platform combining dining, events, weather, cost, and crowd signals through real-time services and Elasticsearch.
- Python
- Node.js
- Elasticsearch
- REST APIs
Experience
Work that shipped, taught, or discovered something.
Jun 2025 — Aug 2025
Technology Consulting Intern
Ernst & Young · Digital Transformation
Built an ML-powered procurement intelligence workflow on SAP purchase-to-pay data.
- Developed a procurement spend analyzer with Python, Streamlit, Rasa, scikit-learn, and data from eight SAP source tables.
- Engineered four ML modules for unit-price prediction, inflation analysis, plant-wise price variation, and low-value purchase anomaly detection.
- Consolidated 1,000+ records to power 10+ dashboard charts, tables, and chatbot responses.
May 2024 — May 2025
Research Assistant
American Institutions and Methodology Lab · The Ohio State University
Applied NLP and unsupervised learning to large-scale legal and political-science datasets.
- Analysed 90,000+ Supreme Court documents for NSF-funded research.
- Used PCA, K-Means, hierarchical clustering, Guided LDA, and topic modelling to identify document patterns.
- Maintained 10+ reusable data-cleaning and visualisation scripts for reproducible research.
Aug 2024 — Nov 2024
Lab Assistant
Engineering Education Department Lab · The Ohio State University
Created a Python order-tracking application used across two first-year engineering courses.
- Automated validation, request organisation, and status tracking for recurring student project orders.
Sep 2023 — Jan 2024
Undergraduate Teaching Assistant
CSE 2321 · The Ohio State University
Guided 50+ students through data structures, graphs, recursion, asymptotic analysis, and abstract data types.
Sep 2023 — Nov 2023
Innovation Analyst Intern
OSU × Honda · Innovation programme
Mapped 15+ customer needs across three innovation sprints and supported AI-enabled improvement proposals.
About
Engineering breadth, backed by fundamentals.
I work across machine learning, simulation, connected hardware, and full-stack software. The common thread is straightforward: understand the problem deeply, then build the clearest useful solution.
Machine Learning & AI
- scikit-learn
- NumPy
- pandas
- Regression
- Classification
- Clustering
- PCA
- K-Means
- Naive Bayes
- Guided LDA
- Reinforcement Learning
- Policy Optimisation
- NSGA-II
- Anomaly Detection
Engineering & Data
- Python
- SQL
- JavaScript
- React
- Node.js
- REST APIs
- Elasticsearch
- Streamlit
- Rasa
- Git
IoT & Simulation
- Isaac Lab
- MuJoCo
- MATLAB
- Arduino
- ESP32
- MicroPython
- MQTT
- ThingSpeak
Education
NUS
Aug 2025 — Present
Master of Science in Computer Engineering
National University of Singapore · Singapore
OSU
Jan 2022 — May 2025