Distributed SystemsBackend Engineer
Commerce Services
Event-driven e-commerce backend using Saga + OCC; chaos tests show ~40% fewer deadlocks under fault injection.
JavaSpring BootKubernetesPostgreSQLKafka
Software Engineer & ML Enthusiast | Product Manager
HarshilChudasama
Full-stack engineer bridging distributed infrastructure and high-performance machine learning. Building systems that are resilient at scale and optimized for latency.
MSCS (AI/ML)
Northeastern
About
Millions of requests, milliseconds to respond,the best systems are felt but not seen.
Millions of requests, milliseconds to respond,
the best systems are felt but not seen.
Full-stack engineer who builds end-to-end: React interfaces, Python/Java services, and the infrastructure underneath. Distributed consistency through Saga patterns and optimistic concurrency control. High-performance ML with quantization and shared-memory IPC to hit sub-50ms deadlines.
My work spans Backend Engineering, ML Infrastructure, and Quantitative Systems. Microservices, search systems, model serving, real-time pipelines, and the dashboards that make them usable. Designing for failure with circuit breakers, backpressure, and idempotency. Systems that adapt, flow, and simply work.
Core Expertise
Full-StackDistributed SystemsPythonJavaReactKubernetesML SystemsLow LatencySystem Design
Capabilities
Technical Arsenal
Tools I wield to build resilient, high-performance systems.
Languages
Java
Python
C++
TypeScript
SQL
Backend & Systems
Spring Boot
FastAPI
Kafka
Redis
PostgreSQL
gRPC
Infrastructure
AWS (Lambda, ECS)
Kubernetes
Docker
Terraform
AI & Math
PyTorch
ONNX Runtime
YOLOv8
NumPy
Linear Algebra
Engineering Focus
Distributed Consistency
Saga, OCC
High-Performance ML
INT8, ONNX
Algorithmic Systems
Bandits, MC
Reliability
Circuit Breakers
Selected Work
Projects
Concrete grey base, cloud-dancer surfaces, and a calmer grid. Hover for more detail or load a few more tiles when you want to dig deeper.
MobileMobile Engineer
QuickVerify SDK
React Native SDK with native Swift/Kotlin modules for biometrics and doc capture; TypeScript API with realtime emitters.
React NativeSwiftKotlinTypeScript
AI
PythonPyTorchONNX Runtime
ML & AI / Distributed SystemsML Systems Engineer
Anytime Inference
Deadline-aware router that flips FP32/INT8 based on CPU pressure; maintains sub-50ms p99 for 500+ users under stress.
PythonPyTorchONNX Runtime
EC
PythonC++PyTorch
Quantitative / ML & AIQuant Dev & Systems Architect
Execution Copilot
Low-latency algo trading engine using lock-free ring buffers and contextual bandits (LinUCB); walk-forward on market data.
PythonC++PyTorchONNX Runtime
Experience
Where I have contributed
Where I have contributed
Sep 2025 - Present
Vancouver, Canada
Software Engineer Intern
ICBC - Insurance Corporation of British Columbia
Mar 2025 - Jun 2025
Vancouver, Canada
AI Research Assistant
Northeastern University - Mixed Reality Lab
Sep 2024 - Dec 2024
Vancouver, BC
Graduate Teaching Assistant
Northeastern University
May 2024 - Aug 2024
Boston, MA
Software Engineer Intern
Thermo Fisher Scientific
Jan 2023 - Jul 2023
Vancouver, BC
Product Manager
Felix Payment Systems
Recognition
Awards
Merit through craft
Microsoft & Qualcomm
Microsoft x Qualcomm On-Device AI Hackathon
1st Place Winner
Built a Snapdragon-powered navigation assistant that fused YOLOv8 vision with on-device speech guidance, offloading inference to DSP/NPU accelerators to achieve ~40ms latency.
IMC Trading
IMC Prosperity 2 Trading Competition
Global Rank 87 / 30,000Top 0.3%
Designed a market-making strategy using Monte Carlo simulations and risk-aware inventory management, outperforming baseline agents in a volatile simulated exchange.