AP
Open to internships · Summer 2026

Backend & Systems Developer | GSoC @ BRL-CAD

I build distributed systems and AI infrastructure — from open-source geometry processing to document intelligence pipelines. Currently pursuing B.Tech at IIIT Surat and contributing to BRL-CAD via Google Summer of Code.

currently building

GSoC @ BRL-CAD

Manifold C++ geometry library — CI reliability, cross-platform determinism & benchmarking infrastructure.

C++CI/CDOpen Sourcesee projects →

availability

Open to Internships

Summer 2026 · Backend / Systems / AI

Actively looking
reach out →
🇮🇳

Mumbai, India

UTC +5:30

top skills

PythonC++FastAPIPyTorchPostgreSQLDockerNLPGolang

Work Experience

Selected Contributor, Manifold Subproject

  • Selected to improve BRL-CAD's Manifold C++ geometry processing library through CI reliability and benchmarking infrastructure.
  • Designed cross-platform determinism checks using fixed mesh cases, canonical artifacts, SHA256 comparison, and clear mismatch reporting.
  • Planned Linux Clang ASan+UBSan testing and PR/weekly benchmark workflows with base-vs-head comparison, JSON history, and dashboard trend visualization.

feat: Extralit Open Source

Open Source Contributor, AI Systems

  • Contributed to an AI document intelligence platform supporting OCR parsing, dataset workflows, structured extraction, and annotation pipelines.
  • Merged 10+ pull requests across ingestion pipelines, dataset configuration, frontend components, validation logic, and test coverage.
  • Fixed multi-step workflow persistence issues and added structured table-based dataset inputs with validation and UI integration.

feat: Bluestock™

Software Engineer Intern

  • Improved system reliability and performance across user-facing financial features.
  • Wrote clean, well-tested code and performed debugging across the codebase.
  • Collaborated remotely with the team over a 3-month internship engagement.

feat: Techvisio Design

Software Developer Intern

  • Built a full-stack analytics dashboard using React, Django REST Framework, and SQL APIs to process 10K+ daily user events.
  • Integrated AWS S3 pipelines for 300K+ monthly records and reduced backend API latency by 40% through query optimization and caching.

Projects

A selection of things I've built. Many are open-source — check out the code and contribute if something interests you.

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AI Pull Request Reviewer

Automated PR review feedback using LLMs — reduces manual review overhead by analyzing code diffs, repository context, and commit history.

PythonFastAPIGitHub APILLM APIsREST APIs
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Intelligent Document Processing Platform

Parallelized document ingestion pipeline handling OCR extraction, vector embedding, and semantic search over unstructured files.

FastAPICeleryRedisVector DBOCR
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Portfolio Website

Built with Next.js App Router, TypeScript, Tailwind CSS, and Framer Motion.

Personal portfolio built with Next.jsTypeScriptand Tailwind CSS
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HLDC-BailNLP: Hindi Legal Bail Prediction

Fine-tuned a transformer-based NLP model on the HLDC Hindi Legal Documents Corpus for bail decision classification, achieving 83.68% accuracy with FP16 mixed-precision training..

PythonPyTorchTransformersFP16NLP

Research

Academic and applied research projects at the intersection of NLP, medical imaging, and machine learning systems.

Gujarati Legal Document Corpus and NLP Pipeline for Court Case Understanding

Ongoing

Building a machine learning-ready Gujarati legal corpus from Gujarat eCourts data, with NLP pipelines for classification, named entity recognition, summarization, and retrieval-augmented QA over district court judgments.

NLPOCRTransformersIndicBERTMuRILPythonLow-resource NLPRAG

Robust and Explainable CNN-Based Chest X-Ray Classification Across Unseen Clinical Datasets

Ongoing

A cross-dataset generalization study training CNN models on CheXpert and evaluating them zero-shot on MIMIC-CXR, NIH ChestX-ray14, PadChest, VinDr-CXR, and BRAX to measure architecture robustness and detect dataset-specific shortcuts.

Medical ImagingCNNPyTorchXAIGrad-CAMMulti-label ClassificationCheXpertGeneralization

About

I'm a backend and systems developer currently pursuing B.Tech at the Indian Institute of Information Technology, Surat (2024–2028). My work spans distributed systems, AI tooling, and open-source infrastructure.

I'm a Google Summer of Code contributor at BRL-CAD, improving the Manifold C++ geometry processing library with CI reliability, cross-platform determinism checks, and benchmarking infrastructure. I'm also an active open-source contributor to Extralit — an AI document intelligence platform — where I've merged 10+ pull requests across ingestion pipelines, dataset workflows, and validation logic.

Previously interned at Techvisio Design, where I built analytics dashboards processing 10K+ daily events, integrated AWS S3 for 300K+ monthly records, and reduced API latency by 40% through query optimization and caching.

Stack & Tools

Technologies and tools I use across product development, deployment, and maintenance.

Languages

PythonC++GolangSQLBashJavaScript

Backend

FastAPIDjango REST FrameworkREST APIsMicroservicesAPI DesignAuthenticationCaching

Databases & Queues

PostgreSQLRedisCeleryVector DatabasesQuery Optimization

Cloud & DevOps

AWS EC2AWS S3DockerGitHub ActionsCI/CDLinuxGit

AI & Data

PyTorchTensorFlowTransformersOpenCVNumPyPandasOCRLLM APIs

Core CS

Data StructuresAlgorithmsOOPDistributed SystemsSystem DesignOperating Systems

Achievements

Google Summer of Code 2026

Selected contributor for BRL-CAD Manifold open-source subproject — improving C++ geometry processing CI and benchmarking infrastructure.

Winner — Agentic AI Strategy Hackathon

First place for designing a multi-agent automation system with workflow orchestration.

3rd Place — Speed Coding, IIIT Surat

Placed 3rd among 100+ participants in a competitive speed coding event.

GitHub Activity

 

LeetCode

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Get In Touch

Available for backend and systems internships — Summer 2026. Open to remote and hybrid roles.

Currently at IIIT Surat · Mumbai, India · Open to remote and hybrid roles