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SOMANI ABDULLA

SURYA TEJA

Surya Teja

Full Stack & Applied AI Engineer

1.9+ Years High-Scale Production Engineering @ Codegnan · Dec 2024 – Sep 2026.

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01 // Core Philosophy & Engineering Breadth

FullStack&AppliedAIEngineershippingenterprisewebplatforms,scalableAPIs,andreal-timevoiceAI.Owneddeliveryacross10productionrepositoriesserving5,000+users(246PRs,963commits).SpecializedinTypeScript,Python(FastAPI),Node.js,Next.js,Docker,AWSandVitest.

Available to join immediately(0 Days (Officially Relieved Sep 26, 2026))
10 Production Repositories · 246 PRs · 963 Commits Pass
Somani Abdulla Surya Teja - Cinematic Cover
COVER STORY // VOL. 01
HYDERABAD · 17.3850° N
SURYA TEJA
FULL STACK & APPLIED AI ARCHITECT

Scaling systems at the
edge of intelligence and cloud resilience.

Specializing in low-latency voice synthesis pipelines with LiveKit WebRTC, high-throughput MongoDB multi-tenant microservices, and end-to-end production ownership.

FEATURE 01 // SCALE15,000+ OPS

High-Throughput Microservices

Eliminated MongoDB query bottlenecks with compound indexing, driving down query latency by 68% across high-concurrency workloads.

FEATURE 02 // REALTIME<500MS AUDIO

Applied Voice AI Pipelines

Full-duplex conversational agents with DeepSeek R1 and OpenAI streaming through LiveKit WebRTC for human-parity responsiveness.

FEATURE 03 // RELIABILITY246 PRs

End-to-End Ownership

From database schema to production Linux Nginx reverse proxies with automated zero-downtime CI/CD workflows.

Somani Abdulla Surya Teja·Available to join immediately
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Surya Teja - Deep Contemplation at Sunset
01 // Stillness & First Principles
Surya Teja - Looking at Future Skyline
02 // Relentless Execution at Scale
The Engineering Philosophy

Every breakthrough begins in
absolute stillness.

Before writing a single line of code, I break complex distributed challenges down to first principles. Whether optimizing MongoDB index cardinality or architecting full-duplex WebRTC pipelines, clarity precedes speed.

↓ Scroll to trigger execution phase
From Vision to Production

Building systems that scale
without breaking.

Proven track record across 1.9+ years at Codegnan IT Solutions: managing 246 PRs, 963 commits, and deploying multi-tenant production architectures that reliably serve thousands daily.

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02 // Production Outcomes & Verified Telemetry
5000+

Active Production Users

Concurrent students and recruiters across live SaaS platforms

200x

Query Speedup

MongoDB analytics slashed from 20s to 100ms / 40ms

~650ms

Voice AI Latency

Glass-to-glass conversational streaming via LiveKit WebRTC

246

Pull Requests Merged

963 production commits across 10 repositories at Codegnan

99.9%

Platform Uptime

High-scale LMS serving 500+ daily concurrent learners

75%+

Smaller API Payloads

Optimized mobile REST endpoints with targeted projections

Scrub down to reveal projects ➔
03 // Production Systems & Architectures

Selected Works

Enterprise EdTech and real-time voice screening platforms shipped to live production users.

01

Enterprise LMS Platform

Microservices learning ecosystem scaled to 5,000+ active users

Node.jsExpressMongoDBReact
02

AI Mock Interview with Real-Time Voice

Ultra-low latency conversational AI screening rooms

LiveKitFastAPIPythonWhisper
03

Placement & Candidate Screening Portal

High-throughput recruitment workflow and eligibility engine

Next.jsNode.jsMongoDBRBAC
04

Payments & Billing Automation

Idempotent payment reconciliation with zero duplicate charges

RazorpayNode.jsExpressSHA-256
05

Autonomous Career Intelligence Engine

Modular multi-tier ATS reverse-engineering automation pipeline

PythonPlaywrightBeautifulSoup4Node.js
03B // Deep-Dive Showcase

Architected Platforms

Enterprise LMS Platform
156 Endpoints · 5,000+ Users
Full Stack & Systems Lead

Enterprise LMS Platform

Microservices learning ecosystem scaled to 5,000+ active users

  • ◆Scaled microservices LMS to 5,000+ users across 156 REST endpoints and ~24 data models.
  • ◆Authored 97% of backend commits, architecting course management and analytics.
  • ◆Optimized high-traffic dashboards to maintain sub-100ms response times.
Node.jsExpressMongoDBReactDockerAWS
AI Mock Interview with Real-Time Voice
~650ms Latency · Real-Time WebRTC
Applied AI & Real-time Architect

AI Mock Interview with Real-Time Voice

Ultra-low latency conversational AI screening rooms

  • ◆Achieved ~650ms conversational glass-to-glass latency using LiveKit WebRTC.
  • ◆Self-hosted STT, LLM and TTS pipelines behind asynchronous FastAPI streaming endpoints.
  • ◆Engineered adaptive bitrate fallbacks ensuring zero conversational interruptions.
LiveKitFastAPIPythonWhisperWebSockets
Placement & Candidate Screening Portal
500+ Recruiters · 5-Tier RBAC
Lead Systems Architect

Placement & Candidate Screening Portal

High-throughput recruitment workflow and eligibility engine

  • ◆Built placement and screening portal connecting 500+ corporate recruiters.
  • ◆Implemented dynamic eligibility reach-meter calculating applicant qualification scores.
  • ◆Secured 40+ endpoints with 5-tier role-based access control and httpOnly JWT tokens.
Next.jsNode.jsMongoDBRBACWebSockets
Payments & Billing Automation
0 Duplicate Charges · 15h Saved/wk
Backend & Integration Engineer

Payments & Billing Automation

Idempotent payment reconciliation with zero duplicate charges

  • ◆Engineered Razorpay checkout flows (full, token, balance) with SHA-256 signature verification.
  • ◆Guaranteed idempotent transaction handling with zero duplicate charges over 1,000+ payments.
  • ◆Automated Zoho invoice generation, saving 15+ manual finance hours weekly.
RazorpayNode.jsExpressSHA-256Zoho API
Autonomous Career Intelligence Engine
5 Portals · Adapter Pattern
Open Source Author

Autonomous Career Intelligence Engine

Modular multi-tier ATS reverse-engineering automation pipeline

  • ◆Automated job discovery across 5 enterprise portals using an Adapter Pattern engine.
  • ◆Categorized opportunities into APPLY, WATCH, NEAR, and SKIP tiers based on ATS schema match.
  • ◆Integrated two-way Excel sync and real-time HTML analytics dashboard.
PythonPlaywrightBeautifulSoup4Node.jsAdapter Pattern
04 // Technical Matrix

Capabilities & Tooling

TYPESCRIPT✦NODE.JS✦EXPRESS✦FASTAPI✦PYTHON✦MONGODB✦REACT✦NEXT.JS✦DOCKER✦AWS S3✦TYPESCRIPT✦NODE.JS✦EXPRESS✦FASTAPI✦PYTHON✦MONGODB✦REACT✦NEXT.JS✦DOCKER✦AWS S3✦
LIVEKIT WEBRTC◆VOICE AI◆WHISPER◆WEBSOCKETS◆REDIS◆VITEST◆SONARQUBE◆RBAC SECURITY◆NGINX◆CI/CD◆LIVEKIT WEBRTC◆VOICE AI◆WHISPER◆WEBSOCKETS◆REDIS◆VITEST◆SONARQUBE◆RBAC SECURITY◆NGINX◆CI/CD◆

Frontend Architecture01

TypeScriptJavaScriptReactNext.jsRedux ToolkitTailwind CSS

Backend & Systems02

Node.jsExpressFastAPIREST MicroservicesRBACJWTWebSocketsLiveKit

Applied AI03

Real-time Voice AI (STT/TTS)WhisperLLM DeploymentMulti-Agent WorkflowsRAG Pipelines

Data & DevOps04

MongoDBMySQLAWS (EC2, S3, CloudFront)DockerNginxPM2Linux

Quality & Testing05

VitestSonarQubePostmanGitHub Actions CI/CD
05 // Career Record & Relieving Proof

Production Experience

MERN Stack Developer (Full Stack & AI Engineer)

Codegnan IT Solutions Pvt Ltd
Dec 2024 — Sep 2026
Hyderabad, India
Officially Relieved Sep 26, 2026 (0 Days Notice)
Engineering Impact & Deliverables:
  • 01.Lead architect across 5 live production platforms, authoring 246 PRs and 963 commits.
  • 02.Achieved 200x query speedup with targeted compound indexes and aggregation pipeline optimization.
  • 03.Slashed core API latency from 1,000ms+ down to 40-50ms under peak concurrent learner traffic.
  • 04.Reduced server CPU by 40% with direct AWS S3 presigned URL uploads and HLS adaptive streaming.
  • 05.Maintained 80%+ test coverage with Vitest, passing SonarQube quality gates on all releases.
  • 06.Secured 40+ endpoints with 5-tier RBAC, JWT access tokens, and automatic refresh token rotation.
06 // Identity, Craft & Background
Somani Abdulla Surya Teja - Full Length Architectural Shot
IMMEDIATE JOINER
Hyderabad, India
Somani Abdulla Surya TejaFull Stack & AI

Proven track record at Codegnan IT Solutions. Scaling distributed systems, voice AI agents, and enterprise architectures with zero compromise.

An engineer who owns
the complete outcome.

I am a Full Stack & Applied AI Engineer who takes complete ownership: from database schema architecture and real-time WebSocket state synchronization, to fluid micro-interactions and Linux production deployment.

At Codegnan IT Solutions (Dec 2024 – Sep 2026), I architected and maintained core multi-tenant microservices serving over 15,000+ daily production requests. By optimizing MongoDB compound indexing and query execution paths, we eliminated blocking bottlenecks and accelerated read latency by 68%.

In the Applied AI domain, I developed real-time low-latency voice synthesis pipelines with LiveKit WebRTC, streaming DeepSeek R1 / OpenAI responses at sub-500ms response windows for seamless conversational intelligence.

1.9+ YearsProduction Exp.
246 PRs963 Commits
0 DaysImmediate Notice
Academic & Certified FoundationVerified Credentials
2020 — 2024Credential

B.Tech in Computer Science & Engineering

DRK Institute of Science and Technology

2017 — 2020Credential

Diploma in Computer Engineering

Government Polytechnic Masab Tank

2023Credential

Cyber Security / VAPT Certification

Berry9 IT Services

Vulnerability Assessment & Penetration Testing certification