Neeraj Sathyan
I'm a Full Stack Engineer with 6+ years of experience building and architecting centralised and d3 applications, with focus on system design, system architecture and data engineering.
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About

With background in Computer Science and a major in Big Data Engineering, I have worked on a variety of projects ranging from building scalable web applications to architecting data pipelines. I have experience working with a variety of technologies and have a strong foundation in software engineering principles. With constant drive for learning and a tech-savvy attitude, I am always looking for new challenges and opportunities to grow. I cofounded and is currently working part-time on an AI based sports platform called SportsMortem.

Work Experience

D

Docklab

October 2022 - Present
Full Stack Engineer
Involved in the development of FuelFwd (spinout) which won the best enterprise software award at the Dutch Blockchain Awards 2023. Lead teams in architecting data pipelines for data intensive applications, smart contract development with solidity. Working on multiple spin out projects.
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SportsMortem

February 2022 - Present
Co-Founder
SportsMortem delivers AI-generated sports reports and podcasts that dissects athletic performances with surgical precision, transforming raw data into compelling sports narratives.
V

Vassar Labs

June 2017 - June 2019
Software Engineer
Worked on full-stack technologies including big data analysis frameworks to build data analysis platforms. Microservice architecture based on containerised backend APIs written in spring boot and frontend written in angular with data pipelines orchestrated using kafka and redis cache services. Involved for a brief time with android application dev team in converting analytics sites to native mobile applications.
M

Mandiant (FireEye, Inc.)

January 2021 - November 2021
Engineering Intern
Involved in full-stack development of CAT Team applications using node.js and flask. Part of the data science team involved in building and deploying efficient machine learning models for various customer-centric data problems.
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Aigent

March 2020 - September 2020
Data Analyst Intern
Worked in close relationship with the data infrastructure and reporting team to develop analytics tools to find better insights into the AI-driven customer service platform. Tools like Kibana, Metabase, Superset were used.
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Indira Gandhi Center for Atomic Research

May 2015 - June 2015
Developer Intern
Involved in the MVP development of a fuel sub-assembly tracker tool for the prototype fast breeder reactor.

Skills

programming Languages

Python
JavaScript
TypeScript
Java
Go
C/C++
Julia

frontend

React
NextJS
SvelteKit
TailwindCSS

backend And Databases

Spring Boot
Solidity
FastAPI
Flask
Node.js
MySQL
PostgreSQL
MongoDB
Redis
Cassandra
Neo4j
ClickHouse
ElasticSearch

data Frameworks

Apache Kafka
Apache Spark
Pandas
Metabase
PyTorch

cloud And Dev Ops

Docker
Kubernetes
Terraform
Helm
AWS
GCP

blockchain

Solidity
Web3.js
Hardhat
Ether.js
Web3Auth

others

LangChain
Projects

Check out some of my personal work

These are a few of my highlighted projects. For more projects, do check out my GitHub.

SportsMortem

Sportsmortem is a platform that utilizes artificial intelligence to deliver detailed sports reports and podcasts. It focuses on dissecting athletic performances with precision, transforming raw data into compelling narratives. Their services include AI-generated analysis, performance dissection, data-driven reports, and smart insights. Sportsmortem aims to revolutionize sports analysis through comprehensive, data-driven insights, providing in-depth post-match analysis for major sports leagues worldwide.

Next.js
Typescript
PostgreSQL
MongoDB
TailwindCSS
FastAPI
LLM

Flickr Geo-Tagged Image Analysis

Developed a web application that visualizes Flickr geo-tagged images on a map. The application allows users to filter images based on tags, date, and location. The application also provides a heatmap of the images.

Flask
SlogsNYorkers

SlogsNYorkers

A cricket based analytics website that provides insights into the performance of players and teams. The website provides detailed analysis of matches, players, and teams, as well as a cricket based grid game. The website also provides a prediction model for upcoming matches. This was framed as a subsidiary of SportsMortem but was decided to be deprecated, as it is planned to add cricket related data within the main site itself.

React
Typescript
PostgreSQL
FastAPI