Currently building at Digitap.ai · Bengaluru, India

M Santhosh Kumar

I build

Technical Lead at Digitap.ai with 5+ years designing data pipelines, security tooling, and product architecture — and the maintainer of 11 open-source packages on PyPI and npm.

About

Turning messy data into reliable systems

I'm a data engineer and technical lead with over five years of experience designing ETL pipelines, web scrapers, and secure backend systems. At Digitap.ai I guide architecture and design decisions, lead and mentor a team of engineers, and bridge communication between technical and non-technical stakeholders.

Outside of my day job, I maintain 11 open-source packages across PyPI and npm — spanning encryption toolkits, code-quality analyzers, and data/web-scraping utilities — built for developers who need reliable building blocks.

Role
Technical Lead, Digitap.ai
Location
Bengaluru, India
Focus
Data Engineering & Architecture
Open Source
11 packages shipped
0+years leading data engineering & architecture
0open-source packages published
0 / 0packages on PyPI / npm
2018building software professionally since
Resume

Experience, education & skills

DT May 2024 — Present Current

Technical Lead

Digitap.ai · Bengaluru
  • Guide architecture & design decisions
  • Bridge technical and non-technical teams
  • Monitor systems & service performance
  • Lead and mentor engineers
  • Design data pipelines & product architecture
FL Nov 2019 — Jul 2020

Data Engineer

Fanlytiks

Owned databases, ETL pipelines, and a GraphQL API — turning fantasy-sports data into marketing intelligence.

FL Aug 2019 — Oct 2019

Data Engineer Intern

Fanlytiks

Analyzed and generated metrics from fantasy sports app data.

CD Jan 2019 — Jul 2019

Data Science Intern

CSIR - Central Drug Research Institute

Built crawlers collecting worldwide AA rehab-center news, then wrangled the data for analysis.

24 Jun 2018 — Dec 2018

Research Apprentice

24 Frames Factory

Crawled IMDb, Wikipedia & news sites to build a dataset predicting movie box-office gross.

JN 2014 — 2018

B.Tech, Computer Science & Engineering

JNTU, Anantapur

Coursework: Data Structures, AI & Machine Learning, Computer Graphics, Probability & Statistics, Human-Computer Interaction.

Data Engineering & Pipelines

ETL processes and scrapers that scale.

PythonSQL / RDBMSETL PipelinesWeb ScrapingData Analysis

Cloud & Security

The core of Cryptorix and jwe-encryptify.

AWS S3AWS KMSSecrets ManagerAES / RSA / JWEArgon2 / scrypt

Architecture & Leadership

Owning system design, growing the team.

System DesignTeam MentoringTechnical StrategyStakeholder Comms

Open Source & Tooling

Shipping packages across two ecosystems.

Python PackagingNode.js / npmCLI ToolsStatic AnalysisGit
Mar 2018

Runner Up — Smart India Hackathon 2018

Trained a deep-learning model on 40k crack images to replace manual UAV structural inspections.

Aug 2017

Runner Up — Berkeley University Hackathon 2017

Built a voice-assistant app helping under-educated villagers offer services to tourists.

Mar 2019

Box-Office Revenue Estimation for Telugu Movie Industry Using Predictive Analytic Techniques

IJRTE

Applied ML and NLP on IMDb/Wikipedia data to predict a film's opening and total box-office gross.

Open Source

Packages I've shipped

11 packages across PyPI and npm — encryption toolkits, code-quality analyzers, and data utilities, built for developers who need reliable building blocks.

Contact

Let's build something reliable together

Open to interesting conversations about data engineering, architecture, or open source — reach out anytime.