Lakshya Agarwal
CURRICULUM VITAE

Lakshya Agarwal

B.Tech CSE (Software Development) · Backend / software engineering intern candidate

Lovely Professional University, Punjab CGPA 8.38 Aug 2024 – Jun 2028
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01 / TARGET ROLES

Focus area.

Computer Science & Engineering student at Lovely Professional University on the Software Development track, specialising in backend programming, API design, and database design — with one commerce platform designed, built and deployed to production, and a research pipeline published together with its own null result. Seeking a Software Engineering, Backend Engineering, or Full-Stack Engineering internship.

Target roles Backend · Software · Full-stack engineering intern
Specialisation Backend programming · API design · Database design
Availability Open now · Punjab / Kanpur, India
02 / EDUCATION

Academic timeline.

Aug 2024 – Jun 2028

B.Tech, Computer Science & Engineering (Software Development)

Lovely Professional University · Punjab, India · CGPA 8.38

Core coursework: Data Structures & Algorithms, Operating Systems, Database Management Systems, Computer Networks, Object-Oriented Programming, and System Design.

Completed 2023

Senior Secondary (Class XII), Science

Gulmohar Public School · Kanpur, India
03 / PROJECTS

Selected projects.

Full write-ups, including limitations, on the work page.

2026 – PRESENT · FULL-STACK

Rinky Commerce Engine

Production jewellery storefront and admin platform.

In production
  • Shipped a live production storefront serving Rinky Jewellers, engineered end to end on Node.js and Express as 5 REST route groups over 4 Mongoose models on MongoDB Atlas, deployed to Render behind a /healthz probe.
  • Hardened every account workflow: bcrypt password hashing, Mongo-backed sessions on 7-day httpOnly SameSite cookies, role-gated admin APIs, Helmet security headers, and a 20-request / 15-minute rate limiter on every authentication route.
  • Built Brevo-backed email verification and password recovery, an admin console for product CRUD, featured-item and enquiry management, and authenticated customer wishlists across 14 server-rendered views with no frontend build step.
Tech stack
Node.js Express.js MongoDB Atlas Mongoose express-session bcryptjs Helmet Brevo API Render
Live site ↗ Case study ↗ Source private — walkthrough on request
2025 – 2026 · COMPUTER VISION

Attendance System using Facial Recognition

Real-time biometric pipeline.

Solo build
  • Developed an automated biometric pipeline in Python on OpenCV with DeepFace/MTCNN embeddings, achieving 99.2% face-verification accuracy across a 500+ student dataset under dynamic lighting conditions.
  • Optimised RTSP camera stream processing with multi-threaded frame batching and FAISS vector indexing (cosine similarity), cutting end-to-end recognition latency to 42 ms at 30 FPS.
  • Built an anti-spoofing liveness filter (eye-blink and texture variance) and automated audit logs syncing to PostgreSQL through FastAPI with asynchronous error-retry queues.
Tech stack
Python OpenCV scikit-learn DeepFace FAISS FastAPI PostgreSQL Docker Linux
Repository ↗ Case study ↗
JUL 2026 – PRESENT · RESEARCH PLATFORM

AdityaNet

Verifiable research platform over the Aditya-L1 solar X-ray archive.

Null result published
  • Built a Python pipeline parsing ISRO Aditya-L1 SoLEXS/HEL1OS X-ray products under a fail-loud contract into a SHA-256 digest-addressed dataset — 7 tables, 1,985 Parquet files, 569 MiB over 28 months.
  • Ran a pre-registered benchmark (fixed seed, day-block bootstrap CIs) on a 192,541-minute chronological hold-out, since random splits leak at 0.80 autocorrelation. Learned models (ROC-AUC 0.966) do not beat a single count-rate threshold (0.954).
  • Made a wrong figure unpublishable: a CI gate re-reads every artifact and fails the build on drift, and a PolicyLeakageError gate structurally refuses test-derived policy after I proved and voided my own leaked thresholds; 18 Astro routes ship 0 KB JavaScript.
Tech stack
Python pandas scikit-learn Parquet TypeScript Astro React GitHub Actions Render
Case study ↗ Repository ↗
04 / SKILLS SUMMARY

Skills & technologies.

Languages

Python C++ Java TypeScript JavaScript SQL C HTML/CSS

Frameworks & libraries

React Next.js Node.js FastAPI Express.js OpenCV scikit-learn PyTorch pandas NumPy Astro

Databases

PostgreSQL PL/pgSQL Redis MongoDB Supabase Parquet MySQL SQLite

Cloud & DevOps

Docker GitHub Actions Linux Vercel Render AWS (EC2/S3)

Developer tools

Git GitHub Postman VS Code pytest Jest Linux CLI

Core subjects

DSA Operating Systems DBMS Computer Networks OOP System Design
05 / CERTIFICATIONS & ACHIEVEMENTS

Credentials.

2025 – Present

CEO, Arena LPU

Lovely Professional University

Led university-level technical events and mega hackathons.

Jul 2026

Android App Development

Humble Coders, LPU

Industry-oriented summer training programme.

May 2026

Programming in Java

iamneo (an NIIT Venture), LPU
Jan 2026

Data Structures and Algorithms

iamneo (an NIIT Venture), LPU

Six-month programme.

06 / CONTACT

Get in touch.

Email agarwallakshya172@gmail.com ↗ Mobile +91 95575 05737 ↗ LinkedIn linkedin.com/in/lakshyaagarwal17 ↗ GitHub github.com/Lakshya172 ↗ PDF resume lakshya-agarwal-resume.pdf ↓