Darsh Panchal
Verified Expert in Engineering
Software Engineer and Back-end Developer
Toronto, ON, Canada
Toptal member since April 21, 2025
Darsh is an experienced software engineer specializing in enterprise software and designing scalable architectures and AI-driven solutions. He has a proven track record of reducing data costs by 50% through cloud optimization, delivering reliable generative AI applications with LlamaIndex, and building high-performance big data engines using Spark and Kafka. Proficient in Python, Java, PHP, and GenAI integrations, Darsh consistently delivers secure, reliable, and scalable products.
Portfolio
Experience
- Python - 5 years
- FastAPI - 4 years
- PHP - 4 years
- PostgreSQL - 4 years
- Amazon Web Services (AWS) - 2 years
- Java - 2 years
- LlamaIndex - 1 year
- Apache Kafka - 1 year
Preferred Environment
Slack, Teams, PyCharm, Visual Studio Code (VS Code), Windows, Linux
The most amazing...
...solution I've built is a GenAI RAG reporting system that converts client data into actionable insights using LLMs, enhancing report quality and visualizations.
Work Experience
Back-end Developer
Hitachi Cyber
- Developed back-end microservices using FastAPI in Python and Laravel in PHP within a Docker environment, handling over 300,000 REST API requests daily and ensuring reliability and security throughout the development process.
- Built a Python multithreaded microservice to integrate 3rd-party APIs and process over 100,000 security alerts daily, prioritizing concurrency in the design. The system reduced analysts' triage time by 30% by automating LLM-generated alert summaries.
- Designed and developed a GenAI RAG-based reporting system that synthesized client data into actionable insights using LLMs and LlamaIndex, enhancing report quality and simplifying visualizations for stakeholders.
- Collaborated with the solution architect and engineers to design and implement a big data engine that processes over 10 million events daily in real time, using Java, Kafka, and Spark, focusing on scalability and speed.
- Migrated client data from on-prem PostgreSQL to Amazon Relational Database Service (Amazon RDS) and transitioned data from MongoDB to Amazon Athena, reducing data operation costs by 50%.
- Co-led an Agile team, conducting daily scrums and resolving over 10 technical blockers per week to ensure 100% sprint completion.
- Optimized LLM inference costs by 30%, maintaining 92% output quality through prompt engineering and migration to open-source models.
- Designed a custom PHP testing framework that accelerated unit testing by 30%, achieving over 80% code coverage and ensuring stable, secure releases.
- Collaborated with the DevOps team to containerize production microservices and design CI/CD pipelines using Docker and Jenkins, ensuring seamless, zero-downtime deployments.
Software Engineer
OkayG Softwares Pvt Ltd
- Developed a full-stack application using Vue, Node.js, and MySQL, implementing JSON Web Token (JWT), OAuth 2.0, and multi-factor authentication (MFA), achieving 99.9% uptime.
- Conducted comprehensive end-to-end testing in collaboration with the QA team using Selenium and Cypress, achieving 99.8% test coverage and reducing production bugs by 50%.
- Engineered a scikit-learn machine learning model for image clarity detection with 99% accuracy and fine-tuned a ResNet50 neural network integrated with OpenCV to detect real-time user attention with 97% accuracy.
- Implemented lazy loading techniques, reducing initial page load time by 30% and enhancing the user experience.
Experience
GenAI RAG Reporting System
GenAI-driven Enrichment System
Big Data Engine
Education
Master of Engineering Degree in Electrical and Computer Engineering
University of Windsor - Windsor, ON, Canada
Bachelor of Technology Degree in Mechatronics
Ganpat University - Gujarat, India
Certifications
Deploying Scalable Machine Learning for Data Science
Deep Learning with TensorFlow
IBM
Machine Learning with Python: A Practical Introduction
IBM
Skills
Libraries/APIs
Vue, Node.js, Scikit-learn, TensorFlow, OpenCV
Tools
Git, Slack, PyCharm, Jenkins, Plotly
Languages
Python, PHP, Java, C++, Embedded C
Paradigms
REST, Agile
Frameworks
LlamaIndex, Laravel, Apache Spark, OAuth 2, JSON Web Tokens (JWT), Selenium, Cypress, Flask
Platforms
Amazon Web Services (AWS), Docker, Apache Kafka, Visual Studio Code (VS Code), Windows, Linux
Storage
PostgreSQL, MongoDB, MySQL
Other
FastAPI, Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), System Design, Teams, Data Science, Data Engineering, Machine Learning, Deep Learning, Retrieval-augmented Generation (RAG), Multithreading, Microcontrollers, Cryptography, Robotics
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