Lead Software Engineer @ HighLevel · Chennai, India

I build backend-heavy products that stay fast under load: distributed services, real-time data pipelines and AI tools.

Live system · click or tap to send your own request

you → edge 3 ms → gateway 2 ms → fastapi 31 ms → redis 1 ms → 200 OK · 37 ms

throughput
10K–100K+ rps
uptime
99.95%
api latency
850 → 490 ms
experience
8+ years
scroll to follow your request
gateway · +3 ms

Three routes, one engineer

Portrait of Rangeesh Rajagopal
role
Lead Software Engineer @ HighLevel
region
Chennai, India
uptime
8+ years
  1. GET /build

    Backend-heavy products: services handling 10K–100K+ requests per second, real-time pipelines and LLM-powered tools.

  2. GET /stack

    End-to-end delivery across backend (Python, FastAPI, Node.js), frontend (React, Next.js) and cloud (AWS).

  3. GET /care

    Using AI to build software with real impact, and growing the teams that build it.

services · +5 ms

Eight years, one trace

Scroll to travel through my career. Each role is a span; overlapping roles run in parallel, and the current one is still in flight.

highlevel.lead

Lead Software Engineer

HighLevel · Chennai, India

Feb 2026 – Present

span.status
open · in flight
started
Feb 2026

jupitrr.media

Senior Software Engineer

Jupitrr AI · United Kingdom (Remote)

Oct 2024 – Feb 2026

user.adoption
+70%
pipeline.processing_time
−55%
cpu.usage
−30%
uptime
99.95%
tests.pass_rate
98%
  • Led end-to-end development of AI-assisted media editing workflows, contributing to a 70% uplift in user adoption
  • Optimized the AI editor pipeline, cutting processing time by 55% and CPU usage by 30%
  • Introduced caching and async tasks that kept the system at 99.95% uptime through launch-day peaks
  • Built an automated regression suite and linting, raising release stability to a 98% test success rate
  • Python
  • FastAPI
  • React
  • Node.js
  • TypeScript
  • OpenAI
  • AWS Bedrock
  • Redis
  • PostgreSQL

deloitte.genai

Full Stack Engineer (Contract)

Deloitte · Chennai, India

May 2024 – Oct 2024

llm.answer_variance
−25%
triage.time_saved
5 h/week
peak.load
3×
  • Designed multi-agent enterprise conversational systems with Python, React, LangChain and LangGraph to improve document discoverability
  • Implemented reflection and consensus strategies that reduced LLM answer variance by 25%
  • Integrated Langfuse for evaluation and tracing, cutting incident triage by 5 hours per week
  • Architected auto scaling to absorb 3× peak load
  • Python
  • React
  • LangChain
  • LangGraph
  • Langfuse

metafire.web3

Senior Software Engineer

MetaFire Financial · United States (Remote)

Apr 2022 – Apr 2024

  • Senior Software Engineer (part-time) · Apr 2022 – Mar 2023
  • Senior Software Engineer (full-time) · Apr 2023 – Apr 2024
employment
part-time → full-time
api.latency
850 ms → 490 ms
throughput
1.2×
test.coverage
54% → 88%
prod.defects
−62%
  • Built a dApp frontend that interacts with smart contracts, and a backend that scales and secures application requests
  • Reduced API response time 42%, from 850 ms to 490 ms, for a 1.2× increase in throughput
  • Reworked onboarding to cut setup time by 40%, adding 2,000 new accounts in 3 months
  • Built NFT APIs and wallet integrations that raised user conversion by 25%, and DDoS mitigation that cut malicious traffic by 60%
  • Expanded test coverage from 54% to 88%, reducing production defects by 62%
  • TypeScript
  • Node.js
  • Express
  • Redis
  • MongoDB
  • AWS

shiryam.trading

Senior Software Engineer

Shiryam Technologies · Remote

Feb 2021 – Mar 2023

  • Software Engineer · Feb 2021 – Apr 2022
  • Senior Software Engineer · Apr 2022 – Mar 2023
team.size
10 developers
features.per_week
5 major
order.latency
< 500 ms
trades.per_day
10K+
deploy.time
20 min → 0
infra.provision
~15 min
  • Led a team of 10 developers; instituted Git, code review and testing practices that let the team close 5 major features per week
  • Architected an algorithmic trading platform from scratch, placing orders in under 500 ms and handling 10K+ trades/day
  • Automated deployments from 20 minutes to zero manual steps
  • Wrote Terraform that builds a complete client infrastructure, including load balancers and public/private networks, in ~15 minutes
  • The platform reached $25K/day peak profit, and disciplined delivery materially increased release velocity
  • Python
  • Terraform
  • AWS

deepcompute.infra

Software Engineer

deepcompute · Bengaluru, India

Oct 2018 – Jan 2021

  • Associate Software Engineer · Oct 2018 – May 2020
  • Software Engineer · May 2020 – Jan 2021
cluster.size
~600 machines
automation.scope
microservice environment
framework
custom Python (Tornado)
  • Automated an entire microservice environment
  • Maintained a cluster of around 600 machines
  • Contributed to a custom Python framework built on Tornado
  • Python
  • Tornado
  • Microservices

digitalsw.cicd

Software Engineer

Digital Software Inc · Tamil Nadu, India

May 2018 – Oct 2018

  • Software Engineer Intern · May 2018 – Jul 2018
  • Software Engineer · Jul 2018 – Oct 2018
rnd.focus
CI/CD tooling
rnd.also
code hosting tools
  • Researched and evaluated CI/CD tools and custom code hosting tools
  • CI/CD

t4teq.web

Web Developer

T4TEQ Software Solutions · Tamil Nadu, India

Jan 2018 – Mar 2018

work
web development
mentoring
Python
  • Built web applications and mentored developers in Python
  • Python
workloads · +41 ms

Work that runs

No screenshots. Each project below runs a small live version of what it actually does.

Jupitrr AI · production pipeline

AI Media Editing Platform

High-throughput pipelines that take a raw upload through transcription, segmentation, rendering and export.

  • Ingest, transcribe, segment, render and export as independent stages
  • Frame-accurate previews with HLS and animation frameworks
  • Rebuilt rendering and export to 98% reliability
  • Reduced manual editing effort by 70%
  • Python
  • FastAPI
  • Redis
  • AWS Bedrock
  • HLS
Pipeline · illustrative timingsexported · 38 clips
  1. ingestclip_042queue 0
  2. transcribeclip_041queue 1
  3. segmentclip_040queue 0
  4. renderclip_039queue 1
  5. exportclip_038queue 0

Optimizing this pipeline cut processing time by 55% and CPU usage by 30%.

Rule-based email processing engine

Gmail Actions

Connects to a Gmail account and applies JSON rules to incoming mail: match on sender, subject, date or body, then act.

  • Gmail API with OAuth2 for secure access
  • SQLite storage for fast querying
  • Conditions on From, To, Subject, Date and Message
  • Actions: mark read or unread, move to labels
  • Gmail API
  • OAuth2
  • SQLite
View on GitHub ↗
rules.json · sample inbox6 processed · 4 actions
  1. rule · finance
    { "subject": { "contains_any": ["invoice", "receipt"] },
      "then": ["mark_read", "move:Finance"] }
  2. rule · news
    { "from": { "contains_any": ["digest@", "news@"] },
      "then": ["move:Newsletters"] }

Finance 2

  • billing@cloudhost.ioYour invoice for September
  • payments@stripe.comPayout receipt #4821

Newsletters 2

  • digest@devweekly.comTop stories this week
  • news@launchboard.coToday's top launches

Inbox 2

  • priya@team.devDesign review at 4pm
  • arjun@team.devRe: deploy checklist

Free expense splitter

SplitBiller

A free alternative to Splitwise. No signup and no account: split a group bill instantly, with every calculation done in your browser.

  • No login or signup required
  • Privacy-first: nothing is stored or sent
  • Mobile-friendly and lightweight
  • Made for dinners, trips and roommates
  • Web
  • Client-side
Visit SplitBiller ↗
Sample bill · works offline

Dinner · Besant Nagar

₹2,400

4 people
  • You₹600
  • Asha₹600
  • Karthik₹600
  • Meera₹600

Even split · computed in your browser · nothing stored

More workloads

Shopify volume discount app

Discount Store

Lets store owners configure volume discounts such as "Buy 2, get 10% off", applied automatically at checkout.

  • React Router
  • Shopify Functions
View on GitHub ↗

Journal of MedVerse Research & Practice

Nurexus

A medical research journal platform where researchers, faculty and students publish and discover peer-reviewed work.

  • Web platform
Visit Nurexus ↗
stack · +43 ms

The stack, by layer

The stack assembles from infrastructure up. Then a request traces each piece of work through exactly the tools it used. Pick one to hold it.

client
  • React
  • Next.js
  • TypeScript
  • JavaScript
  • Tailwind
  • React Router
api
  • Python
  • FastAPI
  • Node.js
  • Express
  • Django
  • Tornado
ai
  • OpenAI
  • AWS Bedrock
  • LangChain
  • LangGraph
  • Langfuse
  • ChromaDB
  • Deepgram
data
  • PostgreSQL
  • Redis
  • MongoDB
  • SQLite
infra
  • AWS
  • GCP
  • Terraform
  • NGINX
  • Microservices
  • CI/CD
platforms
  • Gmail API
  • OAuth2
  • Shopify Functions
  • Smart Contracts
  • HLS

Education

B.E., Computer Science and Engineering

SRM TRP Engineering College, Trichy (Anna University)

2014 – 2018

Certifications

  • Python Core Language: Expert
  • High Level System Design for Quora
  • Socket Programming in C from Scratch

Publication

  • An Approach to Accept Voice in Code Editor
response · +47 ms

Open a connection

Hiring, collaborating, or want to talk systems? Send me an email.