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.

Selected work

01

Olist Query Studio

LLM · Graph analytics

Tools and features

Python, Neo4j, Cypher, Ollama, FastAPI, Streamlit

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

Matches 82 of 112 verified benchmark questions (73%)

View code

02

Bug2JSON

LLM · Bug triage

Tools and features

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

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

30 of 30 benchmark responses schema-valid

View code

03

Sort-Downloads

Python · CLI · Automation

Tools and features

Python, Rich, PowerShell, pytest

A command-line tool I use daily. 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.

Parity test: files everything exactly as the PowerShell original

View code

04

AI Resume Analyzer

Full stack · AI

Tools and features

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

Compares PDF/DOCX resumes with job descriptions and returns ATS-style feedback, keyword gaps and suggestions. A Next.js frontend and an Express/TypeScript API share Zod schemas, with Supabase auth and OpenAI-assisted feedback backed by deterministic scoring.

In progress · repository not public yet

05

Ethereal Command

System telemetry dashboard

Tools and features

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

A local system-monitoring dashboard. 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.

In progress · repository not public yet

Want to see more?

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.

Applied skill · Lab-assessed

Enhance agents with autonomous capabilities

Microsoft · Oct 2026

ID E2571D68A27B29EE

Show credential

Applied skill · Lab-assessed

Get started developing agents in Microsoft Foundry

Microsoft · Oct 2026

ID 9DF07DC5B9B7E5C8

Show credential

Professional certification

Neo4j Certified Professional

Neo4j GraphAcademy · Sep 2026

ID 46327d32-4193-4fb0-aa4a-783195f258bb

Show credential
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
Download PDF View online

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.