Portfolio 2026 · Designed in the open

SurajitDas

Team Lead · Data, BI & AI Engineering

I turn operational data into decisions — and lead the people, process and AI tooling that ship them.

Now: Assistant Manager · Bosch India
Based in: Bengaluru, India
Next: Open to Team Lead roles

01 — About

Data first. People always.

I lead data, business intelligence and database engineering — nearly six years and more than twelve data platforms shipped across manufacturing, banking, retail and supply chain. At Bosch India I own projects from scoping to production: the team, the resources and the delivery, across Oracle Database, Oracle APEX, ETL, CI/CD and containerised apps on Microsoft Azure. I built a GPT-4o assistant on Microsoft Foundry that answers KPI questions in plain language, automates KPI reporting and raises context-aware Azure DevOps incidents. I work AI-native, every day, with Claude Code, GitHub Copilot, Cursor and Google Antigravity. Next, I want to lead a team — and scale delivery through people, process and AI-assisted engineering.

Data, BI and database engineering: ~6 yrs
Data platforms shipped: 12+
Faster BI dashboards at Bosch: 30%
Faster retrieval after the BaNCS migration: 25%
Lower storage cost on the same migration: 20%
Less manual database maintenance: 80%

02 — Experience

Left to right, past to present.

Jul 2017 — Jun 2021
University of Engineering & Management
Jaipur
B.Tech · Computer Science & Engineering
Graduated with an A+.
- Hackathon team
- Festival organiser
- Cultural club guitarist
May 2021 — Oct 2021
Wipro
Delhi NCR
Project Engineer · PL/SQL Developer
Client: Alight Solutions.
- Built PL/SQL solutions and owned core database operations: configuration, analysis, query optimisation and performance tuning.
- Supported data migrations, compliance requirements and security standards across teams.
Oct 2021 — Nov 2024
Tata Consultancy Services
Kolkata
Senior System Engineer · PL/SQL & Database
- Led a PostgreSQL-to-Oracle migration of the TCS BaNCS core-banking pipeline: 25% faster retrieval, 20% lower storage cost.
- Cut query times with PL/SQL tuning — dynamic SQL, BULK COLLECT and FORALL.
- Delivered SQL analytics for GE Renewables and PL/SQL backends for Walmart Global Tech, with CI/CD and unit testing built in.
- TCS BaNCS
- GE Renewables
- Walmart Global Tech
Nov 2024 — Jan 2025
Adapt Ready
Bengaluru · Remote
Database Engineer
- Designed the Supply Chain Risk Store: PostgreSQL, PL/pgSQL and Python joining external risk data with operations to flag disruptions early.
- Automated full and incremental backups in Bash — 80% less manual database maintenance.
- PostgreSQL
- PL/pgSQL
- Python
Feb 2025 — Present
Bosch India
Bengaluru
Assistant Manager · BI & Database Engineering
- Own Oracle Database and Oracle APEX solutions for Bosch Automotive's BI department end to end — scope, timelines, team and resources.
- Built a GPT-4o assistant on Microsoft Foundry: plain-language KPI answers, on-demand reports and triage-ready Azure DevOps incidents.
- Lead ETL and Oracle SQL optimisation for a plant-site KPI platform; migrated BI dashboards for 30% better performance.
- Oracle APEX
- GPT-4o
- Azure
- Tableau · Power BI
Next
Team Lead
Scaling delivery through people, process and AI-assisted engineering.
Start the conversation

03 — Projects

Shipped, and stacking up.

01 · D2C storefrontLive
Flora by Jonakee
A live storefront for a handcrafted-jewellery brand: catalogue and collections, cart, customer accounts and Supabase media storage.
- Next.js
- React
- Prisma
- Supabase
- Tailwind CSS
- Vercel
florabyjonakee.com
02 · Brand siteLive
Girly Tales
The brand site for a nightwear and jewellery label, built alongside Flora.
- Brand site
- Storefront
girlytales.in
03 · Android gamePlay internal testing
IMPSTR
An offline pass-and-play social-deduction game for 3 to 10 players, with Stealth Mode and encrypted state. GitHub Actions tests, lints, signs and publishes each release.
- Kotlin
- Jetpack Compose
- Material 3
- MVVM
- GitHub Actions
github.com/knownassurajit/impstr
04 · On-device AIOpen source · closed testing
VOID & Nano Playground
Generative AI that never leaves the phone: private notification summaries with Gemini Nano in a minimalist launcher, plus an on-device LLM chat app on the ML Kit Prompt API.
- Kotlin
- Jetpack Compose
- ML Kit GenAI
- Gemini Nano
github.com/knownassurajit/void
05 · Android calendarOpen source
clndr
A widget-first calendar about the long view: a 110-year life grid, year progress and milestones, built multi-module.
- Kotlin
- Glance
- Room
- Hilt
github.com/knownassurajit/clndr
06 · Finance trackerOpen source
Cyclewise
A salary-cycle finance tracker for Android. Income, minus what you set aside, minus what you spent, equals a safe-to-spend figure per day.
- Kotlin
- Jetpack Compose
- Material 3
github.com/knownassurajit/dvide
07 · Fitness PWALive
rebyld
A personal performance dashboard for nutrition, workouts, hydration and recovery, installable as a PWA.
- PWA
- HTML
- JavaScript
knownassurajit.github.io/rebyld
08 · Trading logicOpen source
Limit Order Book
Matches bid and ask orders against a supply limit — solved first in C++, then again in Python.
- C++
- Python
github.com/knownassurajit/limit-order-book
09 · Web code editorOpen source
Editor.io
An in-browser editor for HTML, CSS and JavaScript with a live preview, plus a Markdown editor for READMEs.
- HTML
- CSS
- JavaScript
- Markdown
github.com/knownassurajit/Editor.io
End of the deck
More on GitHub

04 — Process

From a question to production.

The same five moves, whether the deliverable is a KPI platform, a migration or an AI assistant.

01
Discover
Sit with the people who own the question. Turn what they need into a KPI that can be measured.
- Requirements analysis
- Stakeholder management
02
Define
Agree scope, timeline and capacity before a line of SQL. Model the data so the answer can exist.
- Resource & capacity planning
- Data modeling
03
Design
Wireframe the dashboard, shape the schema and prototype the flow until the team can see it.
- KPI design
- Dashboards
- API design
04
Deliver
Ship in sprints through CI/CD, with tests and data-quality checks, so every release is repeatable.
- Sprint planning
- CI/CD
- Release management
05
Operate
Watch the platform, triage incidents quickly and keep iterating with AI-assisted engineering.
- Incident management
- Data quality
- Agentic workflows

05 — Toolkit

The component library behind the work.

Leadership & Delivery11
- Team Leadership
- End-to-End Project Ownership
- Resource & Capacity Planning
- Agile / Scrum
- Sprint Planning
- Stakeholder Management
- Requirements Analysis
- Release Management
- Incident Management
- Cross-functional Collaboration
- SDLC
Databases & Data Engineering15
- Oracle Database
- PostgreSQL
- MySQL
- PL/SQL
- PL/pgSQL
- SQL
- Data Modeling
- Data Warehousing
- ETL / ELT Pipelines
- Data Migration
- Query Optimization
- Performance Tuning
- Data Quality
- Data Security
- API Design
Oracle APEX & BI7
- Oracle APEX
- Power BI
- Tableau
- KPI Design & Standardization
- Dashboards
- Reporting Automation
- Manufacturing Analytics
Generative AI & LLMs8
- Gemini Nano
- GPT-4o
- Azure OpenAI
- Microsoft Foundry
- Prompt Engineering
- LLM Application Development
- Conversational AI
- ML Kit GenAI
AI-Assisted Development5
- Claude Code
- GitHub Copilot
- Cursor
- Google Antigravity
- Agentic Coding Workflows
Cloud & DevOps12
- Microsoft Azure
- Azure DevOps
- Docker
- GitHub Actions
- Jenkins
- Git
- Linux
- Bash
- AWS S3
- Vercel
- Supabase
- CI/CD Pipelines
Programming & Frameworks10
- Python
- Kotlin
- TypeScript
- JavaScript
- C++
- Next.js
- React
- Prisma
- Tailwind CSS
- Jetpack Compose
Tools6
- JIRA
- DataGrip
- DBeaver
- Jupyter Notebook
- Figma
- Azure Data Studio