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.

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

Models, experiments, and intelligent systems built from messy real-world data.

scikit-learn
NumPy
pandas
Regression
Classification
Clustering
PCA
K-Means
Naive Bayes
Guided LDA
Reinforcement Learning
Policy Optimisation
NSGA-II
Anomaly Detection

Engineering & Data

The production layer: software, interfaces, APIs, search, and data pipelines.

Python
SQL
JavaScript
React
Node.js
REST APIs
Elasticsearch
Streamlit
Rasa
Git

IoT & Simulation

Connected hardware and simulated environments for systems that sense and move.

Isaac Lab
MuJoCo
MATLAB
Arduino
ESP32
MicroPython
MQTT
ThingSpeak

Selected work

Projects built around real problems.

NUS • 2026 — PRESENT

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

Isaac Lab · single-agent terrain rollout

ERNST & YOUNG • 2025

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

From eight SAP sources to four predictive models

NUS • 2026

IoT Failure Detection

An ESP32 and MicroPython monitoring pipeline using MQTT, ThingSpeak, and MATLAB to classify normal and failure states.

ESP32
MicroPython
MQTT
MATLAB

Edge signal → failure classified in 180 ms

NUS • 2025

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

Cost and performance, balanced—not averaged

OSU CAPSTONE • 2025

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

Five live signals, ranked into one useful answer

Open source

Systems built to be opened, tested, and used.

01Public repository

Observability · 2026

Pathloom Studio

A local-first OpenTelemetry trace and log viewer with OTLP JSON and Protobuf ingestion, live SSE updates, service maps, and a custom trace waterfall.

SvelteKit 5
TypeScript
OpenTelemetry
SSE

Explore the code

02Public repository

Browser agents · 2026

NavForge

A repeatable browser-agent workspace that runs natural-language web tasks, records trajectories and screenshots, and turns successful runs into reusable skills.

Python
Playwright
Pydantic
Typer

Explore the code

03Public repository

Generative AI · 2026

Generative Diffusion Lab

Two end-to-end MNIST diffusion implementations: a custom UNet built from scratch and a scheduler-driven DDPM baseline using Hugging Face Diffusers.

PyTorch
Diffusers
Computer Vision
DDPM

Explore the code

04Public repository

Quant systems · 2026

StratForge

A full-stack strategy backtester with five technical strategies, real market data, execution without look-ahead bias, and detailed risk and return metrics.

React
FastAPI
pandas
TradingView

Explore the code

05Public repository

Cybersecurity · 2026

Sentinel Forge

A multi-agent security triage system that coordinates log, threat-intelligence, phishing, risk-scoring, and reporting agents into an explainable investigation.

LangGraph
FastAPI
Next.js
OpenSearch

Explore the code

06Public repository

AI infrastructure · 2026

ContextForge

A modular MCP server workbench that gives AI clients controlled access to files, Git repositories, memory, web retrieval, time utilities, and protocol examples.

TypeScript
MCP
Node.js
Knowledge Graphs

Explore the code

07Public repository

Developer tooling · 2026

Agentic CI Reviewer

A local code-review service with queued review runs, persisted findings, rule-based quality gates, replayable fixtures, and an evaluation harness.

Python
FastAPI
SQLAlchemy
CI/CD

Explore the code

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.

Education

Where I built the foundation.

Aug 2025 — Present

Master of Science in Computer Engineering

National University of Singapore · Singapore

Jan 2022 — May 2025

Bachelor of Science in Computer Science and Engineering

The Ohio State University · Columbus, Ohio

Artificial Intelligence specialisation · GPA 3.57 / 4.00

Have an interesting problem?

Let's talk.

jayadityachawla04@gmail.com

LinkedIn GitHub Résumé