Edition · 01Filed 17 Jun 2026Amravati, India · GMT+5:30
A field manual by Prathmesh Bhansali

I build the quiet systems
that make loud companies
actually run.

Lead Software Engineer & Data Engineer working from Amravati, India. Three years of turning manual processes, scattered data, and quiet chaos into software that pays for itself. This is the case file.

0+Projects shipped0+Years experience0%Client satisfaction0Hour response
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Chapter01

Index

A short table of contents. Read in order, or jump to a chapter that interests you.

  1. 02OriginWhere it started
  2. 03PracticeWhat I work with
  3. 04Case StudiesThree systems
  4. 05TrajectoryWhere I've been
  5. 06SignalsWhat people said
  6. 07NotesSelected writing
  7. 08TranscriptResume appendix
  8. 09ColophonGet in touch
Chapter02

Origin

The short version. Dates, places, and the work that taught me what kind of engineer I want to be.

I'm Prathmesh. I write software for companies that have outgrown spreadsheets and don't yet have a platform team.

I write software for companies that have outgrown spreadsheets and don't yet have a platform team. Three years of doing this at Datasee.AI, after a stint at Solar Industries building the vendor portal that still runs procurement today.

0+Projects shipped across 8 industries2022 — 2026
0 yrsOf full-time engineering, leading a team of fiveDatasee.AI
0+Daily users on systems I built end-to-endSolar · Datasee
$0$KSaved annually through automation in a single projectRecurring
Annual Savings
$75K
Automated workflows at Solar Industries
Performance Gain
300%
Architecture optimization at Datasee.AI
Projects Shipped
50+
Across 3 years of professional work
Users Served
500+
Active users on production systems

Timeline

2018Government College of Engineering, AmravatiB.Tech, Information Technology. Editor of the college magazine. Secretary of the IT club. First lines of code that ran for someone other than me.
2020Featured in Economic TimesFor an early data engineering project. First proof that the work was legible outside a terminal.
2022Solar Industries India Ltd.Built a vendor portal serving 500+ suppliers. Cut processing time from two weeks to two days. Stayed five months; left with a thesis.
2022 — NowDatasee.AI · Lead Software EngineerArchitecting data platforms, leading a small team, shipping the kind of software that doesn't make headlines but pays the rent.
Chapter03

Practice

An instrument panel, not a badge wall. Skills ranked by years of pain, not by hype.

Soft · the rest of the work
KeyValueNote
Leadershipsoftlevel · 88/100
Problem Solvingsoftlevel · 95/100
Communicationsoftlevel · 90/100
Project Managementsoftlevel · 85/100
---
languageTypeScript, Python, Go (learning)
frontendReact, Next.js, Vite, Tailwind
backendNode.js, FastAPI, Django
dataPostgreSQL, Redis, dbt, Airflow
mlPyTorch, scikit-learn, Hugging Face
infraAWS (VPC, ECS, Lambda, S3), Docker, Terraform
opsGitHub Actions, Sentry, Grafana, Linear
editorNeovim, Cursor
osmacOS, Linux (Ubuntu on a Thinkpad)
Interactive Tech StackMove mouse to orbit
  • ReactFrontend
  • TypeScriptLanguage
  • Next.jsFramework
  • Node.jsRuntime
  • PythonLanguage
  • PostgreSQLDatabase
  • AWSCloud
  • DockerDevOps
  • TailwindCSS
  • FastAPIBackend
  • RedisCache
  • GraphQLAPI
  • GitVCS
  • LinuxOS
  • VimEditor
  • TerraformIaC
ReactFrontend
TypeScriptLanguage
Next.jsFramework
Node.jsRuntime
PythonLanguage
PostgreSQLDatabase
AWSCloud
DockerDevOps
TailwindCSS
FastAPIBackend
RedisCache
GraphQLAPI
GitVCS
LinuxOS
VimEditor
TerraformIaC
Chapter04

Case Studies

Three projects. Each one a system that didn't exist before I wrote it, with a number that justifies its existence.

Spread 01Year · 8 months

Enterprise Vendor Portal

Problem

Manual vendor management causing 2-week delays and operational inefficiencies

Intervention

Built comprehensive portal with automated workflows, real-time tracking, and payment integration

Outcome
efficiency+92%
cost-$75K
users500+
uptime99.9%
Spread 02Year · 12 months

AI-Powered Analytics Platform

Problem

Businesses struggling with data-driven decision making due to complex, scattered analytics

Intervention

Built unified platform with AI-powered insights, predictive analytics, and real-time dashboards

Outcome
revenue+$2M
clients25+
accuracy94%
performance3x faster
Spread 03Year · 10 months

Smart Inventory Management

Problem

Manufacturing companies facing inventory shortages and overstock issues

Intervention

Developed IoT sensors integration with ML-powered demand forecasting and automated procurement

Outcome
cost reduction-35%
efficiency+60%
plants15+
roi6 months
Chapter05

Trajectory

A vertical timeline. Scroll to travel through each role — the metrics, the stack, and what shipped.

July 2022 - Present3+ years
Current

Lead Software Engineer

Datasee.AI · Full-time · Chennai, Tamil Nadu, India

Leading software engineering initiatives and managing development teams to deliver scalable data-driven solutions.

  • Led a team of 5 developers to deliver enterprise-grade solutions
  • Improved system performance by 300% through architecture optimization
  • Reduced operational costs by $75K annually through automation
  • Implemented CI/CD pipelines reducing deployment time by 85%
PythonReactAWSDockerPostgreSQLRedis
February 2022 - June 20225 months
Previous

Software Consultant

Solar Industries India Limited · Contract · Remote

Developed comprehensive vendor management portal handling 500+ suppliers with multi-level approval workflows.

  • Built vendor registration portal with 6 sub-modules
  • Automated quotation and approval processes
  • Reduced processing time from 2 weeks to 2 days
  • Integrated finance and production data modules
ReactNode.jsPostgreSQLRedis
Chapter06

Signals

Words from the people who paid me. Pulled from emails, Slack DMs, and a few LinkedIn recommendations I asked for, then re-read once.

Economic TimesAWS Community BuilderTop 1% Stack OverflowGoogle Cloud CertifiedMongoDB DeveloperOpen Source · 300+ contributionsKaggle ContributorFeatured Speaker · 2024Economic TimesAWS Community BuilderTop 1% Stack OverflowGoogle Cloud CertifiedMongoDB DeveloperOpen Source · 300+ contributionsKaggle ContributorFeatured Speaker · 2024
"Prathmesh delivered exceptional results on our vendor management system. His technical expertise and leadership skills transformed our operations, reducing processing time by 92%. Highly recommended!"Rajesh KumarCTO, Solar Industriesverified · 5 / 5
"Working with Prathmesh has been incredible. His ability to understand complex requirements and deliver scalable solutions is unmatched. He's a true technical leader."Priya SharmaProduct Manager, Datasee.AIverified · 5 / 5
Chapter07

Notes

Selected writing. Mostly about data engineering and the systems that make decisions possible.

  1. No. 01

    Data Engineering Best Practices for Startups

    Learn how to build scalable data pipelines that grow with your business

    Read entry →
    2024-01-15 · 8 min read
  2. No. 02

    React Performance Optimization: A Complete Guide

    Advanced techniques to make your React applications lightning fast

    Read entry →
    2024-01-08 · 12 min read
  3. No. 03

    Building AI-Powered Automation Workflows

    How to leverage AI to automate complex business processes

    Read entry →
    2023-12-22 · 10 min read
Chapter08

Transcript

The full appendix. Everything from the CV, presented in the same typography as the rest of the manual.

Education

Bachelor of Technology - BTech · Information Technology

Government College of Engineering, Amravati · Amravati, Maharashtra · 2018 - 2022 · CGPA 9.02

  • Chief Co-Editor Annual College Magazine
  • Secretary IT Club
  • Co-Convener & Designer for College Events

Certifications

  • AWS Solutions ArchitectAmazon · 2023
  • Google Cloud ProfessionalGoogle · 2023
  • MongoDB DeveloperMongoDB · 2022
  • Featured in Economic TimesEconomic Times · 2020

Recognition

  • Featured in Economic Times2020
  • Top 1% Stack Overflow Contributor2023
  • AWS Community Builder2023
  • Open Source Contributor2022-2024

Experience

July 2022 - Present

Lead Software Engineer

Datasee.AI · Chennai, Tamil Nadu, India · Full-time

Leading software engineering initiatives and managing development teams to deliver scalable data-driven solutions.

  • Led a team of 5 developers to deliver enterprise-grade solutions
  • Improved system performance by 300% through architecture optimization
  • Reduced operational costs by $75K annually through automation
  • Implemented CI/CD pipelines reducing deployment time by 85%
PythonReactAWSDockerPostgreSQLRedis
February 2022 - June 2022

Software Consultant

Solar Industries India Limited · Remote · Contract

Developed comprehensive vendor management portal handling 500+ suppliers with multi-level approval workflows.

  • Built vendor registration portal with 6 sub-modules
  • Automated quotation and approval processes
  • Reduced processing time from 2 weeks to 2 days
  • Integrated finance and production data modules
ReactNode.jsPostgreSQLRedis

Downloads

Contact

Colophon · 09End of fileAmravati, India

Let's build something quiet,
useful, and hard to
take down.

Prathmesh Bhansali

Ready to transform your ideas into reality? Let's discuss your project and explore how I can help you achieve your goals.

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© 2026 Prathmesh BhansaliPrivacy·TermsSet in Fraunces & Geist · Built with Vite, React, TypeScript— End of file —