harshdeep kanhai
@harshdeepkanhai
Full-stack Python and Go developer building scalable microservices, data pipelines, and EEG-integrated platforms.
What I'm looking for
I’m a full-stack Python & Go developer with 8+ years building scalable web applications, microservices platforms, data pipelines, and EEG-integrated systems for high-growth teams. I’ve shipped production-ready solutions using Flask/FastAPI and Go (Gin/Fiber/gRPC), and I’m known for measurable wins—reducing processing times by 30%, improving operational efficiency by 50%, and delivering faster device onboarding and reliability in real-world deployments.
In my recent role as a Senior Backend Engineer, I engineered Go microservices with gRPC and Protocol Buffers, improved service-to-service latency by 20%, and built passkey-based authentication to replace legacy password flows. I also lead data and observability work—optimizing PostgreSQL queries by 35%, containerizing and deploying on AWS, and implementing Prometheus/Grafana monitoring—while integrating ML capabilities (PyTorch, Ultralytics YOLO, MLflow, and RAG/vector workflows) and reliable ETL using Airflow and Dataflow.
Experience
Work history, roles, and key accomplishments
Senior Backend Engineer
Brainwave Science
Apr 2025 - Present (1 year 1 month)
Maintained and enhanced production websites across iCognative, CalmSync, and BasilHealth, fixing critical bugs and shipping new features on tight timelines. Built Python/Go EEG integration libraries and Go microservices with gRPC, reducing device onboarding time by 40%, improving service latency by 20%, speeding up PostgreSQL query response time by 35%, and cutting release cycle time by 30% with D
Freelance Full Stack Developer
Upwork
Aug 2017 - Present (8 years 9 months)
Delivered 50+ full-stack projects across fintech, e-commerce, and SaaS using Node.js, React, Ruby on Rails, Python, and Go. Built Kubernetes-based Go microservices with gRPC observability (Prometheus/Grafana) improving throughput by 35%, and implemented ML-powered PCB defect detection using PyTorch and Ultralytics YOLO with MLflow tracking.
L3 Python Developer
Techstax
Jun 2021 - Aug 2024 (3 years 2 months)
Architected and deployed REST APIs, webhooks, and GraphQL endpoints with Flask/FastAPI, reducing order processing time by 30% and enabling serverless scaling on Google Cloud Run. Built real-time streaming pipelines with Dataflow/Apache Beam (Pub/Sub + Cloud Storage to BigQuery with sub-minute latency), optimized job cost by 25%, and improved compliance reporting by 40% using FastAPI with AWS SNS f
Data Warehousing Engineer
Redcarpet
Oct 2020 - May 2021 (7 months)
Wrote and optimized complex SQL queries for Apache Superset dashboards, improving query performance by 40%. Built ETL pipelines with Apache Airflow (Taskflow API, decorators) using Celery and Kubernetes executors, and reduced data validation error rates by 25% using Pydantic.
Full Stack Developer
Preptick
Aug 2019 - Oct 2019 (2 months)
Developed the company website with React-Redux for the frontend and Ruby on Rails for authentication and data storage. Built and deployed API endpoints on AWS EC2 with Nginx, improving overall system efficiency by 25%.
Microservices Developer
CarrotBox Technologies
Feb 2019 - Apr 2019 (2 months)
Designed microservice architecture for social authentication APIs (Facebook, Google Firebase, Twitter) in Node.js, enabling independent scalability and deployment. Implemented email security filtering via Google Cloud Functions, reducing spam by 95% by verifying SPF and DKIM records.
Full Stack Developer
Turnip Innovations
Nov 2018 - Jan 2019 (2 months)
Built an intellectual property management platform using the MERN stack with MySQL, Express, React, and Node.js, including data visualization dashboards. Optimized Node.js API endpoints using Google Cloud SQL, increasing data retrieval speed by 50%.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology, Ranchi
Bachelor of Engineering, Production Engineering
Grade: CGPA: 7.69
Bachelor of Engineering in Production Engineering, completed in June 2017 with a CGPA of 7.69.
Tech stack
Software and tools used professionally
Superset
Google Compute Engine
GitHub
Kubernetes
GitHub Actions
NumPy
Pandas
PySpark
DB
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Ruby on Rails
Databricks
Terraform
React
Vue.js
React-Vue
JavaScript
Python
PyTorch
MLflow
scikit-learn
RabbitMQ
FastAPI
Fastify
Grafana
Prometheus
SQLAlchemy
GraphQL
Firebase
gRPC
Milvus
Serverless
Google Cloud Functions
Google Cloud SQL
TypeScript
Docker
BeautifulSoup
NGINX
Airflow
Apache Beam
SQL
Google Kubernetes Engine
Google Cloud Run
Playwright
Pydantic
Pinia
Beam
Remote
Jan
Availability
Location
Authorized to work in
Website
harshdeepkanhai.github.ioSalary expectations
Job categories
Skills
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