Available for opportunities
GSoC '25 Mentee

Hi, I'm Rohit Sharma

Software Engineer specializing in distributed systems & scalable software architecture.

I design and build resilient microservices, high-throughput APIs, and robust data architectures. Currently focused on integrating core trading infrastructure and optimizing system performance at Level2.

View my workGet in touch
Python ✦Django ✦FastAPI ✦React ✦Next.js ✦PostgreSQL ✦Redis ✦AWS ✦Docker ✦Model Context Protocol (MCP) ✦RAG ✦pgvector ✦Wagtail CMS ✦Celery ✦LLM APIs ✦GCP ✦Terraform ✦Python ✦Django ✦FastAPI ✦React ✦Next.js ✦PostgreSQL ✦Redis ✦AWS ✦Docker ✦Model Context Protocol (MCP) ✦RAG ✦pgvector ✦Wagtail CMS ✦Celery ✦LLM APIs ✦GCP ✦Terraform ✦
// 01 — about

Building systems that scale,
engineered to last.

I am a Software Engineer focused on building robust infrastructure, distributed systems, and high-performance applications. I specialize in designing scalable software architectures that stay fast and reliable, even under heavy concurrent workloads.

Currently, my work revolves around integrating complex APIs, optimizing database query performance, and scaling real-time transaction services. I enjoy dive-deep profiling, solving bottleneck issues, and designing systems from the ground up.

2+
Years building software
OSS
Wagtail GSoC Fellow
AI
Software & AI systems
∞
Curiosity
// 02 — journey

Where I've shipped.

Sep 2025 — Present

Level2

Software Development Engineer - I · Remote
  • ▸Led integration of third-party brokerage platforms (Public, TradeZero, MT5), implementing session reuse and exponential-backoff retries for connection timeouts, with an Open/Closed Principle-based design that enables adding new brokers without modifying core logic.
  • ▸Architected an earnings analytics pipeline using corporate-event and intraday market data to generate volatility-adjusted (sigma-scaled) trading signals for backtesting, forward-testing, and real-time analytics.
  • ▸Reduced API latency by 40% through threadpool-based asynchronous execution of blocking data-fetch operations, enabling greater concurrency and reducing request queuing under load.
  • ▸Designed a centralized observability pipeline using Logfire and Redis for structured error aggregation and scheduled ingestion, reducing time-to-diagnose production incidents.
  • ▸Optimized 50+ APIs through cache-aside caching, N+1 query elimination, database indexing, request batching, and connection pooling, reducing response times by up to 70%.
Jul 2024 — Sep 2025

WhatBytes

Software Engineer · Remote
  • ▸Architected an AI-powered conversational platform using Django Channels, Pinecone, and RAG, handling 1K+ daily conversations with sub-500ms response times.
  • ▸Built a secure custom-code evaluation feature enabling users to run their own scoring code against LLM-generated answers inside sandboxed Azure Functions, with safeguards to prevent malicious code execution.
  • ▸Built a real-time emotional intelligence platform analyzing emotion, heart rate, and alertness from video stimuli, improving ML accuracy by 80% through custom processing pipelines.
  • ▸Scaled a 100+ endpoint Django REST backend serving 10K+ daily requests, cutting API latency by 60% through caching and query optimization.
Aug 2023 — Present

Wagtail

Open Source Contributor / GSoC Fellow · Remote
  • ▸Selected for Google Summer of Code 2025 at Wagtail, a widely adopted open-source Django CMS used by organizations including Google and NASA JPL.
  • ▸Shipped 30+ merged PRs accepted by Wagtail core maintainers, ranking among the top 7 contributors over two years.
  • ▸Built the Redirect API for headless CMS deployments, enabling redirect management for decoupled Wagtail frontends.
  • ▸Refactored FBVs to CBVs, implemented multi-field API ordering, and resolved core issues and bugs.
2022 — 2023

Techsolvo LLP

Software Developer Intern · Remote
  • ▸Developed and optimized features for a web-based EdTech platform, improving query performance of the admin dashboard.
  • ▸Configured automated CI/CD pipelines, accelerating team deployment velocity.
  • ▸Built robust web scrapers and external API integrations for automated content generation workflows.
// 03 — work

Featured Engineering Builds.

CodeSentry - AI Code Review Agent
AI Agent / MCP

CodeSentry - AI Code Review Agent

Built an AI-powered code review agent using FastAPI, Gemini, and MCP, posting RAG-grounded review comments on GitHub PRs within 15–30s of webhooks. Features AST chunking and pgvector parallel retrieval pipeline.

FastAPIpgvectorRAGMCPGeminiNext.js
beecrypt.io
AI Assessment Platform

beecrypt.io

A multi-tenant AI proctoring and coding assessment platform using FastAPI, SQLModel, and PostgreSQL. Built with a real-time trust scoring engine and automated candidate assessment pipelines.

FastAPISQLModelPostgreSQLAlembicDockerNext.js
SubSearch Pro
Side Project

SubSearch Pro

A search engine for video transcripts featuring an asynchronous ingestion pipeline, subtitle parsing, and serverless background workers.

DjangoCeleryAWS
Resume Reviewer
Side Project

Resume Reviewer

A tool that parses resumes, analyzes keyword distribution against ATS parsing guidelines, and provides structured suggestions using LLM integrations.

DjangoDRFAI
// 04 — toolkit

The stack I love.

Languages

PythonJavaScriptTypeScriptC++

Frameworks

DjangoDRFFastAPIReact.jsNode.jsNext.jsWagtail

Databases & Infra

PostgreSQLRedisDockerAWSGCPTerraform

Dev Tools & Services

CeleryNginxCI/CDGitAlembicSQLModel

AI & Vector Search

RAGpgvectorModel Context Protocol (MCP)LLM APIsLangChainPinecone
// 05 — let's build

Have an idea?
Let's make it real.

If you're looking for a software engineer to design scalable systems, build AI agents, or optimize complex software architecture, feel free to reach out.

rohitsrmaofficial@gmail.com