01 / Flagship system
ConceptGraph AI
Course-aware GraphRAG that turns PDFs into searchable concept graphs, reranks evidence, and returns page-grounded answers.
8/10 Expected page @5 · baseline
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Apoorv Pal.
Software Engineer · AI systems & backend
New Delhi, India · IST
I build intelligent systems that survive beyond the demo.
I’m a Software Engineering student at DTU, building retrieval systems, reliable backends, and data-heavy products. The interesting part usually starts after the happy path.
DTU / Software Engineering Available for a hard problem
Open to engineering internships & research collaborations.
Selected projects.
Browse archiveDistributed systems / job execution
In progressFaultLab
A PostgreSQL-backed job runner that makes retries, worker crashes, lease recovery, and cancellation visible—with Python and Go workers.
2 Worker runtimes · Python / Go
Machine learning / race simulation
F1 Race Strategy Decision Support
Lap-time prediction and Monte Carlo simulation for comparing pit-stop strategies using real 2021–2025 F1 data.
1.41s HGB MAE
Privacy-aware wellbeing product
Serenity AI
A mood-aware journaling and conversation product designed around secure personal data, recent context, and restrained AI assistance.
6 Message context bound
Browser-first product
Résumé ATS Analyzer
Parses résumés locally, scores five ATS dimensions, compares job descriptions, and exports actionable feedback.
5 Explainable scoring dimensions
Experience & recognition.
Bluestock Fintech
Jun — Aug 2026Data Analyst Intern
Built a mutual-fund analytics platform covering 40 schemes, 10 datasets, 87K+ records, and 4.5 years of NAV history.
Python · Pandas · SQL · Power BIELUSOC Summer of Code
Jul 2026Open Source Contributor · Gold Engineer
Ranked 20th of 592 nationally, earning 475 contribution points and the Gold Engineer distinction.
Open source · Engineering collaborationEnginow Open Source Hackathon
2026Open Source Contributor
Finished eighth of 422 participants, in the top 2%, with 1,680 contribution points.
Open source · Rank 8Contributions with a paper trail.
Full recordA short selection from my FixNearby and Open Connect work: product features in one codebase, interaction and reliability fixes in the other.
Select a record to inspect the contribution trail.
MERN hyperlocal services platform
Full-stack contributorMade everyday service workflows portable, observable, and easier to trust.
On my FixNearby fork, I worked across the React client and Express/MongoDB server. The largest slice was a set of export and continuity tools—worker contact cards, booking calendars, comparison CSVs, civic-issue GeoJSON, and recently viewed workers—alongside runtime and authorization guardrails.
- 43
- authored commits in fork history
- 5
- workflow export tools
- 3
- runtime guardrails
Portable workflowsTurned records into useful files↗
Added browser downloads for vCards, iCalendar bookings, worker-comparison CSVs, and civic-issue GeoJSON. Each utility is small, testable, and attached to the screen where the data is already being reviewed.
User continuityKept the last six workers close↗
Added bounded, de-duplicated recently viewed worker history with a local-storage fallback, so returning to a useful profile does not require a new search round-trip.
Operational resilienceMade the server easier to run and debug↗
Added health/readiness endpoints, a graceful shutdown lifecycle, and request correlation IDs. Together they give deploys and incident logs clearer boundaries without introducing another service.
Building is how I learn.
I’m interested in the parts of software that stop being obvious once the demo works: retrieval quality, retries, distributed state, data consistency, and product edge cases.
Most of my recent work sits between AI systems, backend engineering, and data infrastructure. Outside that, I spend time solving DSA problems, reading about system design, and occasionally running or playing badminton.
Languages
Frontend
Backend & data
AI & tooling
Engineering activity
github feed loads as you scroll
Practice, alongside the projects
Live solved counts, platform ratings, and a LeetCode difficulty split are collected in a separate practice record.
Open comp. prog. record ↗Notes from the implementation.
All writingWhy vector retrieval alone was insufficient
Semantic similarity finds nearby language. It does not automatically preserve prerequisites, hierarchy, or evidence chains.
Designing document-processing state machines
A pipeline is easier to trust when every transition has an owner, an invariant, and a cleanup path.
Why successful demos still fail in production
The happy path demonstrates possibility. Production is the accumulation of unusual inputs, interrupted requests, and ambiguous ownership.
medium feed loads as you scroll
07 / Outside the terminal
A little room for curiosity.
Running, badminton, F1, and engineering reading. Currently thinking about reliable RAG evaluation and what happens when a backend has to recover.
What I’m exploring now ↗spotify feed loads as you scroll
Build something small. Understand it deeply. Make it a little better.
Got a difficult system
worth building?
I’m open to software, AI systems, backend, and data engineering internships, research collaborations, and interesting engineering problems.