Hello I'm

Sumit Kumar

Lead Software Engineer
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Get To Know

About Me

About image
Experience
5+ years working
Clients
20+ clients worldwide
Projects
40+ completed projects

With over 5 years of experience as a Lead Software Engineer and Backend Specialist, I focus on building scalable cloud systems, AI-driven pipelines, and robust web data platforms. My expertise includes Python, GCP, AWS, Kubernetes, Terraform, Ansible, various data technologies like BigQuery and ClickHouse, and backend frameworks like Django, Flask, and FastAPI. Holding a Bachelor of Technology in Computer Science and Engineering, I leverage my skills to design and implement efficient, high-performance solutions that drive business success, particularly through infrastructure automation and data processing at scale.

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Skills I Have

My Experience

Cloud

AWS

Experienced

GCP

Intermediate

Kubernetes

Intermediate

Docker

Experienced

Terraform

Intermediate

Ansible

Intermediate

Backend Development

Python

Experienced

Django

Experienced

Flask

Experienced

FastAPI

Experienced

Frontend

HTML

Experienced

CSS

Intermediate

JavaScript

Intermediate

React JS

Experienced

Machine Learning

Tensorflow/Keras

Intermediate

PyTorch

Intermediate

Langchain

Intermediate

GPT APIs

Experienced

Data & Storage

MongoDB

Experienced

SQL

Experienced

BigQuery

Experienced

ClickHouse

Experienced

Parquet

Intermediate

PyArrow

Intermediate

DevOps & Tools

Git

Intermediate

CI/CD

Intermediate

Web Scraping

Intermediate

Grafana

Intermediate
What I Offer

Services

Development Operations

  • Designing and managing Cloud Infrastructure in AWS and GCP

  • Automating infrastructure with Terraform and Ansible scripts

  • Dockerizing applications and managing containers using AWS ECR and Kubernetes

  • Setting up CI/CD pipelines for automated build and deployment processes

  • Integrating cloud services for optimized performance and scalability

Backend Development

  • Building robust backend systems with Django and Flask

  • Creating and managing RESTful APIs for seamless frontend-backend integration

  • Implementing authentication and authorization using OAuth and JWT

  • Configuring database solutions for both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases

  • Processing ETL jobs and automated tasks with Celery and Apache Airflow

Machine Learning

  • Designing and training machine learning models for predictive analytics and decision making

  • Developing specialized models for image processing and natural language processing

  • Applying transfer learning to leverage state-of-the-art pre-trained models

  • Optimizing ML models for performance in real-time applications

  • Fine-tuning state-of-the-art large language models such as GPT for tailored business applications, enhancing decision-making and automation.

My Key Projects & Achievements

Portfolio

Scalable GCP Infrastructure for Web Crawling

Scalable GCP Infrastructure for Web Crawling

Led transition to scalable GCP infra, improving efficiency >50%. Automated deployments with Terraform/Ansible for Kubernetes/Dataproc.

Technologies: GCP, Kubernetes, Terraform, Ansible, MongoDB, Dataproc
High-Volume Crawl Data Processing & Analytics

High-Volume Crawl Data Processing & Analytics

Engineered pipelines processing millions of pages/month. Utilized Parquet, GCS, BigQuery, ClickHouse for batch/streaming analytics & SEO reporting.

Technologies: GCS, BigQuery, ClickHouse, Parquet, PyArrow, Python, Kubernetes, Grafana
AI-Driven Keyword Generation via LLMs

AI-Driven Keyword Generation via LLMs

Developed AI prompting system using LLMs to generate SEO keywords from crawl data, integrating page sampling and prompt tuning.

Technologies: Python, LLM APIs, Prompt Engineering
Monolithic to Microservice Migration

Monolithic to Microservice Migration

Led migration of a monolithic app to microservices using job queues (Redis/Kafka) for inter-service communication.

Technologies: Python, Redis, Kafka, MongoDB, Elastic Search, GCP
Exact Product Matching using Deep-Learning

Exact Product Matching using Deep-Learning

Developed a deep learning solution for e-commerce product matching using multimodal architectures and various text embeddings.

Technologies: TensorFlow, Python, GCP, BERT, SpaCy, Flair, FastText
Review from clients

Testimonials

Yoko Sassanbe
Sumit is a very dedicated professional. He has fixed some critical issues for our application in days just before our launch. Looking forward to working with him again
Taakayuki
Sumit was involved in designing our AWS cloud infrastructure from scratch. Our system manages more than 300 reqs/second without any downtime. His efforts were invaluable.
Kunal Sahu
Sumit developed a cricket ball by ball prediction model for me. He was able to achieve good accuracy within a week . This helped me get the top grade in my Machine Learning class
Keshav Gupta
Sumit was involved in a ML team which developed our Exact Product Matching Model. We experimented with many different model architectures before settling with the final one. His wrote a custom loss function based on contrastive loss that improved our accuracy by 10%
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