DP divyajeetpanda@outlook.com
Resume

Hello! I'm

Divyajeet

A software engineer for

backend, data and graph systems

systems

About me

I build backend and data systems. At Vimaan Robotics I write the Cypher and SQL that turn computer-vision scans into live warehouse inventory. When those numbers don't match the source records, my checks are what flag it. Before that I spent over two years at Cognizant building Python and Node.js services.

Away from the keyboard I shoot photos and video, read fiction and fantasy, and travel whenever I can.

What
I do

Backend & data

Services, queries, pipelines

Java/Spring Boot and Python services on PostgreSQL and Neo4j, and the Cypher and SQL behind live client dashboards.

Skillset & tools

  • Java
  • Spring Boot
  • Python
  • FastAPI
  • Node.js
  • PostgreSQL
  • Neo4j
  • Cypher
  • Kafka
  • RabbitMQ
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Prometheus
  • Grafana

Graph & AI

LLMs, agents, fine-tuning

Text-to-Cypher with local models, so answers come from the data instead of the model's memory. Agents on Microsoft Foundry and Copilot Studio. Structured output from small local models, with schema checks and a LoRA training pipeline.

Skillset & tools

  • Neo4j GDS
  • Ollama
  • PyTorch
  • LoRA / PEFT
  • Microsoft Foundry
  • Copilot Studio
  • Streamlit
  • React
  • TypeScript

Where I've
worked

Software Engineer

Vimaan Robotics · Bengaluru

NOWAug 2025 – Present

  • Cut new-warehouse onboarding from 2–3 days to under 1 day with a Python configuration builder and UI.
  • Configure facility-specific Cypher and SQL that turn computer-vision scans into live inventory on client dashboards.
  • Build reconciliation logic that flags mismatches, missing entries, and exceptions against source records.
  • Debug Java/Spring Boot services, graph pipelines, and dashboards; support releases with log analysis and regression testing.

Senior Systems/Software Engineer

Cognizant · Bengaluru

2022Sep 2022 – Jan 2025

  • Cut PostgreSQL query execution time by 25% and improved overall query performance by 19%, earning the Cognizant Excellence Award.
  • Shipped Python/FastAPI and Node.js microservices on Docker and Kubernetes across AWS and Azure.
  • Built REST and GraphQL APIs with OAuth 2.0/JWT, rate limiting, and caching, plus Kafka/RabbitMQ event-driven workflows.
  • Set up observability with Prometheus, Grafana, and ELK; mentored junior engineers through code reviews.

Personal projects

01

Olist Query Studio

LLM · Graph analytics

Turns plain-English analytics questions about the Olist e-commerce dataset into Cypher and runs them against Neo4j.

What I built

  • Query generation from the graph schema with a local Ollama model
  • A validator, an EXPLAIN check and a read-only account on every query

Matches 82 of 112 verified benchmark questions (73%)

The technical detail

Technologies

  • Python
  • Neo4j
  • Cypher
  • Ollama
  • FastAPI
  • Streamlit

How it works

A local Ollama model writes the queries from the graph schema; a validator, an EXPLAIN check and a read-only account keep every query safe.

View code

02

Bug2JSON

LLM · Bug triage

Turns free-text bug reports into schema-validated triage records, from category and severity to a suggested next step.

What I built

  • A FastAPI service running a local Qwen 2.5 model
  • Guardrails that mark anything the report doesn't support as “unknown”
  • A React review UI that keeps the JSON in view

30 of 30 benchmark responses schema-valid

The technical detail

Technologies

  • Python
  • PyTorch
  • LoRA / PEFT
  • FastAPI
  • React
  • TypeScript

How it works

A FastAPI service runs a local Qwen 2.5 model and replaces any claim the report doesn't support with “unknown”, and a React UI keeps the JSON in view for review. A LoRA fine-tuning pipeline is in place.

View code

03

Sort-Downloads

Python · CLI · Automation

A command-line tool I use daily that files every loose download by category, extension and month.

What I built

  • Filing rules by category, extension and month
  • Exact-duplicate detection by size and MD5, sent to the Recycle Bin
  • A colour-coded preview of every move before it runs

Parity test: files everything exactly as the PowerShell original

The technical detail

Technologies

  • Python
  • Rich
  • PowerShell
  • pytest

How it works

It files every loose download by category, extension and month, and sends exact duplicates (same size and MD5) to the Recycle Bin after a colour-coded preview of every move.

View code

04

AI Resume Analyzer

Full stack · AI

Compares PDF/DOCX resumes with job descriptions and returns ATS-style feedback, keyword gaps and suggestions.

What I built

  • A Next.js frontend and an Express/TypeScript API that share Zod schemas
  • Supabase auth
  • OpenAI-assisted feedback backed by deterministic scoring

In progress · repository not public yet

The technical detail

Technologies

  • Next.js
  • TypeScript
  • Express.js
  • Supabase
  • OpenAI API
  • Zod

How it works

A Next.js frontend and an Express/TypeScript API share Zod schemas, with Supabase auth and OpenAI-assisted feedback backed by deterministic scoring.

05

Ethereal Command

System telemetry dashboard

A local system-monitoring dashboard for CPU, RAM, GPU, storage, thermal, network and process telemetry.

What I built

  • An Express backend that polls telemetry behind cached endpoints
  • A React/Vite UI with live cards, time-series charts and process tables

In progress · repository not public yet

The technical detail

Technologies

  • React
  • TypeScript
  • Vite
  • Tailwind CSS
  • Express.js
  • Recharts

How it works

An Express backend polls CPU, RAM, GPU, storage, thermal, network and process telemetry behind cached endpoints, and a React/Vite UI renders live cards, time-series charts and process tables.

Everything else I've built, including experiments and older work, is on GitHub. See all on GitHub

Certifications

11 credentials from Microsoft, Neo4j, HackerRank, and Udemy. Each one links to the issuer's page, so you can verify it yourself.

First page of Divyajeet Panda's resume

Resume

Two pages covering my experience, projects, education and certifications.

  • 3+ years in backend & data systems
  • Java/Spring Boot · Python · Neo4j · PostgreSQL
  • Gold Medalist, M.Sc. IT

PDF · 2 pages · 8 KB

Education & awards

Education

  • 2023 – 2025

    M.Sc. in Information Technology

    Ravenshaw University, Cuttack

    CGPA 8.20 · Gold Medalist

  • 2019 – 2022

    B.Sc. in Information Technology and Management

    Ravenshaw University, Cuttack

    CGPA 8.68

Honors & awards

  • Gold Medalist, M.Sc. IT

    Ravenshaw University; medal presented by the President of India at the university convocation.

    Medal recipients with the chief guests at Ravenshaw University's 13th convocation The first-position M.Sc. IT gold medal, engraved with my name, outside the convocation venue
  • Cognizant Excellence Award

    For cutting PostgreSQL query execution time by 25%.

  • Grade A Research

    An emotion-detection model I built with OpenCV for my final-year project.