Lakshya Kumar Singh — Software Engineer

Experience

Where I've Worked

Apr 2025
Present

Current

Factacy.ai — Gurugram

Software Engineer

Engineered scalable microservices using Java (Spring Boot), Node.js (TypeScript), and Python, handling high-concurrency workloads with optimized async and multithreaded processing.
Designed and implemented event-driven architectures using Redis Pub/Sub and BullMQ, ensuring reliable, fault-tolerant communication across distributed systems.
Built real-time systems using WebSockets, enabling low-latency communication for mission-critical features such as notifications and live updates.
Implemented distributed transaction management using the Saga pattern, ensuring data consistency and graceful failure handling across multiple services and databases.
Designed efficient database schemas and indexing strategies (SQL/NoSQL), improving query performance and system scalability.
Integrated caching mechanisms using Redis, significantly reducing database load and improving throughput.
Built custom ODM layer using TypeScript and Zod, enabling strong schema validation, type safety, and improved developer productivity.
Architected and deployed containerized applications using Docker across AWS and Azure, ensuring consistent environments from development to production.
Monitored and debugged production systems using structured logging, metrics, and alerting to ensure high availability and reliability.

Sep 2024
Feb 2025

6 months

LifeLinkr — Delhi

Backend Developer Intern

Architected and delivered three full-scale healthcare CRM systems for IVF/ICSI and general clinics, serving 10,000+ patients and supporting daily clinical operations.
Designed scalable backend architectures using Node.js, Express, MySQL, and MongoDB, ensuring 99.9% uptime under production workloads.
Built high-performance REST APIs and internal tools to manage patient records, appointments, and treatment workflows with low-latency responses.
Implemented secure data handling practices aligned with HIPAA standards, safeguarding sensitive patient information and reducing security risks.
Optimized database queries and indexing strategies, improving system performance and reducing response times by up to 50%.
Integrated caching mechanisms and efficient data access patterns to handle high read/write workloads.
Collaborated closely with 15+ healthcare professionals to translate clinical workflows into scalable software solutions, reducing manual effort by ~40%.
Designed modular and maintainable backend systems following clean architecture principles, improving code scalability and team productivity.
Implemented role-based access control (RBAC) and authentication systems to ensure secure access across different user roles (admins, doctors, staff).
Monitored and debugged production systems using logging and performance tracking, ensuring high reliability and quick issue resolution.

Projects

Things I've Built

001 / 009

🎙️

Doctor's Voice AI Supervisor

Real-time Speech-to-Text pipeline for clinical voice notes. Structured JSON output for seamless EHR integration — drastically cutting manual data entry and transcription errors.

Speech-to-TextNode.jsEHRAI/ML

View Details →

002 / 009

⚙️

8-Bit Custom CPU & Compiler

Custom 8-bit CPU in Verilog executing arithmetic expressions. Full compiler pipeline in C++ & Python — from high-level language to machine code via AST, assembler, and custom ISA.

VerilogC++PythonSystems

View Details →

003 / 009

📦

Cosmos ODM + Explorer

Published npm package with 2.8k+ downloads. Lightweight ODM for Azure Cosmos DB with Zod schema validation, type-safe query builder, CRUD helpers, and automated container provisioning.

npmTypeScriptCosmos DBZod

2.8k+ downloads →

004 / 009

🧑‍💼

Zepcruit

An AI enabled recruitment and HR platform that streamlines hiring workflows, candidate tracking, and real-time communication. Built with scalable backend systems, it features JWT + OTP authentication, queue-based processing, and real-time notifications.

Node.js TypeScript MongoDB Redis FastAPI

Real-time system →

005 / 009

🚗

Bidfinite

A real-time prediction platform where users place bids on the expected final price of cars in live auctions. The system evaluates predictions and rewards users based on accuracy, creating a competitive and engaging experience backed by scalable event-driven architecture.

Node.js TypeScript MongoDB BullMQ Redis

Real-time bidding →

006 / 009

🧠

Psychologist CMS

A customer management system tailored for psychologists to manage patient records, appointments, and therapy workflows securely. The platform focuses on data privacy, structured session tracking, and efficient scheduling to improve operational workflows.

Node.js TypeScript PostgreSQL Redis RBAC

Secure system →

007 / 009

🤝

Startup Investor

An AI-enabled platform that connects startups with investors by matching them based on industry, funding stage, and preferences. It streamlines fundraising while helping investors discover high-potential opportunities aligned with their goals.

Node.js TypeScript PostgreSQL MongoDB Redis Microservices

AI matching →

008 / 009

☕

Java Interpreter

Built a working Java execution engine from scratch — decoding and executing bytecode instructions through a custom stack-based virtual machine. Instead of relying on the JVM, this project recreates how Java actually runs at runtime, exposing the mechanics behind method calls, memory, and instruction flow.

Java Bytecode VM Stack Runtime

Rebuilt JVM frontend →

009 / 009

🎮

CHIP-8 Emulator

A custom-built emulator for the CHIP-8 system that runs classic programs by simulating its instruction set, memory, and display. The project focuses on accurately reproducing behavior while keeping the implementation simple and easy to understand.

C++ SDL Emulator Graphics Input

Runs classic ROMs →

Skills

What I Work With

Backend

Node.jsExpress.jsNest.jsSpring BootDjangoFlask

Cloud & DevOps

DockerAWSAzureKubernetesGitLab CIGCP

Databases

MongoDBPostgreSQLMySQLCosmos DBMSSQL

Languages

TypeScriptJavaScriptPythonJavaC/C++

Frontend & Other

ReactNext.jsTailwindKafkagRPCREST APIs

~$ whoami

lakshya@factacy → Software Engineer

~$ cat profile.json

{

"role": "Software Engineer",

"company": "Factacy.ai",

"focus": ["Backend", "Cloud", "DevOps"],

"npm_pkg": "cosmos-odm",

"downloads": 2800+,

"cgpa": 8.5,

"open_to_work": true

}

~$ git log --oneline -3

a3f8c2d feat: deploy HR automation API

b7e1d90 feat: add Kafka event pipeline

c2a5f11 fix: optimise DB indexing layer

~$█

About + Education

I'm a Software Engineer based in India who loves building things that are both technically sound and genuinely useful. Currently engineering scalable backend systems and cloud-native infrastructure at Factacy.ai.

I've built healthcare CRMs, published an npm package with 2.8k+ downloads, designed a custom 8-bit CPU, and integrated AI pipelines for clinical voice transcription.

I care deeply about clean APIs, thoughtful system design, and developer experience. When not coding, I'm exploring low-level systems, open-source, and emerging cloud tooling.

Dr Akhilesh Das Gupta Institute · Delhi

Bachelor of Technology — IT

Nov 2022 – Jul 2026

8.5

CGPA

2026

Graduating

B.Tech

Degree

Specialisation

Lakshya Singh.

Where I've Worked

Things I've Built

What I Work With

Let's
Build
Together.

Lakshya Singh.

Where I've Worked

Things I've Built

What I Work With

Let'sBuildTogether.

Let's
Build
Together.