Open to backend & systems roles

Building systems that don't lose your data.

Software Engineer Intern at Fiserv, and a CS student at PES University who spends free time writing storage engines, backend services, and infrastructure in C++ and Python.

✉ chandanlsofficial@gmail.com GitHub ↗ LinkedIn ↗

8.97CGPA / 10.0

5Shipped Projects

1Published Paper

Top 20%CNR Rao Scholar

01 — About

A little context

🎓 B.Tech in Computer Science & Engineering, PES University, Bengaluru (2023–2027) — CGPA 8.97/10.0
🏆 CNR Rao Scholarship — top 20% of the CSE cohort, 6 consecutive semesters
💼 Currently Software Engineer Intern @ Fiserv, Bengaluru
🔍 Focused on distributed systems, storage engines, and backend infrastructure
📄 Co-authored a paper published at SMARTGENCON 2025

Currently

Software Engineer Intern

Fiserv, Bengaluru · Jun 2026 – Present

Built a desktop XML search engine and an internal Jira Hygiene Tracker used by 50+ engineering teams and VP-level stakeholders, cutting manual reporting time from ~35 minutes to under 60 seconds.

02 — Tech Stack

Tools I reach for

Languages

C++ C Python Java JavaScript TypeScript SQL

Frameworks & Infrastructure

Node.js Express.js React FastAPI Kafka Spark Docker Git Linux

Databases

MySQL MongoDB

03 — Featured (on my résumé)

Projects I lead with

KVEngine

systems · C++

A Bitcask-inspired persistent key-value storage engine built from scratch in C++17: an in-memory hash index (KeyDir), an append-only Write-Ahead Log, and sorted SSTables that guarantee O(1) point lookups. Double-hashing Bloom filters and a sparse index per SSTable segment eliminate redundant disk I/O on missing keys and bound disk scans to ~100 records regardless of file size. A multithreaded TCP server built on std::shared_mutex serves 100+ concurrent clients.

C++17 WAL SSTable Bloom Filter TCP Server

53.7kops/sec, read-heavy (p99 4.54ms)

45.7kops/sec, 50/50 r-w (p99 7.12ms)

1.5M+ops, zero errors (YCSB)

View Repository →

VyaparaBilling

client project

A full-stack GST billing and inventory system built and deployed for a retail client, with native-language support and offline-first operation. Automated invoicing and product entry, plus real-time stock management, cut billing time by roughly half.

SQL Offline-first Inventory Tracking

~50%reduction in billing time

View Repository →

AI Resume Job & Skill Recommender

ML · published

A full-stack system that uses semantic similarity for job retrieval, improving recommendation precision over baseline keyword matching. Includes automated skill-gap analysis and personalized upskilling suggestions through an interactive Gradio UI. The approach behind it was published as "LLM-Driven Resume Matching with Preference Re-Ranking and Skill Recommendations" at SMARTGENCON 2025.

Python Vector Embeddings Gradio

View Repository →

04 — Also built

Other projects

FinSphere

AI Personal Finance Analysis Platform

FastAPI React Tailwind

Analyzes transaction data from CSV/PDF files through an agent-based backend pipeline — computing financial metrics, generating AI insights via the Gemini API, calculating a FairScore-like credit score, and producing downloadable PDF investment reports.

View Repository →

DevSync

Real-Time Collaborative Dev Workspace

Socket.IO Docker

A real-time collaborative code editor supporting multiple concurrent users, with instant sync via Socket.IO cutting code-sharing delays by ~60%. Secure multi-language execution runs inside Docker containers.

View Repository →

05 — Recognition

Publications & achievements

📄

Conference Paper — SMARTGENCON 2025

"LLM-Driven Resume Matching with Preference Re-Ranking and Skill Recommendations"

🏆

CNR Rao Merit Scholarship

Awarded for ranking in the top 20% of the CSE cohort across 6 consecutive semesters.