01 // DETERMINISTIC AGENTIC SYSTEM
AI INTERVIEW PREPARATION ASSISTANT
Deterministic 16-stage pipeline transforming job descriptions and company URLs into evidence-backed, auditable interview preparation kits with real-time SSE streaming.
AVAILABLE IMMEDIATELY FOR BACKEND & AI ROLES
RAVINDER PANDEY
BACKEND ENGINEER
+ AI SYSTEMS ENGINEER
I BUILDSYSTEMSTHAT SHIP.
Python · Node.js · TypeScript
Real-Time AI · Voice · Production Infrastructure
RAVINDER PANDEYGURUGRAM, INDIA / REMOTE
BACKENDAI SYSTEMSREALTIMEPRODUCTIONARCHITECTURE
01 / ABOUT
ARCHITECT // 2026
3+ YEARS PRODUCTION EXPERIENCE
BACKEND IS MY FOUNDATION.
REAL-TIME AI IS WHERE I BUILD.
Backend engineering is my bedrock. Over 3+ years of production delivery across Python, Node.js, and TypeScript, I have architected high-concurrency APIs, designed resilient relational schemas on PostgreSQL, tuned connection pools under heavy load, and optimized distributed caching with Redis.
Beyond synchronous endpoints, I build asynchronous worker tiers using BullMQ and Celery—managing 11 workers across 12 queues, implementing dead-letter queues, exponential retries, and atomic Lua locking to maintain zero-dropout execution.
Real-time AI is where I build. Rather than treating machine learning as an opaque wrapper, I construct high-reliability real-time pipelines using Twilio Media Streams, WebSockets, and streaming speech-to-text.
From cutting first-turn time-to-first-byte from 666ms to 100ms to engineering multi-provider fallback chains that survive upstream outages, I build voice and AI systems that operate with deterministic reliability under real-world production load.
02 / WHAT I BUILD
CAPABILITIES
Core production disciplines honed across high-traffic backends and real-time AI systems.
01
BACKEND SYSTEMS
APIs / PostgreSQL / Redis / Authentication / RBAC
APIS · PG · REDIS · RBAC
02
REAL-TIME AI
Voice / WebSockets / STT / TTS / LLM orchestration
VOICE · WEBSOCKETS · STT / TTS
03
ASYNC INFRASTRUCTURE
BullMQ / Celery / Queues / Workers / Retries / DLQs
BULLMQ · CELERY · RETRIES · DLQS
04
PRODUCTION ENGINEERING
Docker / CI/CD / Reliability / Integrations / Production debugging
DOCKER · CI/CD · DEBUGGING
03 / SELECTED WORK
THINGS I'VE BUILT.
Production systems, real-time voice pipelines, and zero-dropout reliability under load.
02 // AI PRODUCT & DISTRIBUTED SYSTEMS
VAK — SAY IT BETTER
Multilingual AI reply assistant designed with complete server-side key isolation, atomic credit reservation, and Upstash Redis rate limiting.
03 // REAL-TIME AI & VOICE
VOICE QUALIFICATION ENGINE
Deployed config-driven voice qualification engine over Twilio Media Streams with streaming STT, deterministic state machine normalization, and multi-provider TTS fallback.
04 // DISTRIBUTED OPERATIONS PLATFORM
VOXLY OSS
Open-source agency operations platform featuring GitHub webhook ingestion, client communication workflows, and multimodal screenshot-to-issue flows.
04 / TRACK RECORD
EXPERIENCE
FEB 2026 — SEP 2026
MATCHBEST SOFTWARE PVT. LTD.
Full Stack Engineer — Backend & AI Systems
Owned the live call path of a multi-tenant AI voice platform and core backend architecture for enterprise CRM and integration pipelines.
666ms → 100ms
FIRST-TURN TTFB
10,075ms → 7,111ms
12-TURN CUMULATIVE TTS
11 WORKERS
12 QUEUES
33 → 22
REDIS LOCK ROUND TRIPS / ADMITTED CALL
10 → 25
POSTGRESQL POOL
40–60
VALIDATED CONCURRENT CALLS
~100
LOAD-TESTED CALLS
MAR 2023 — NOV 2025
VENKWARA INFOTECH SOLUTIONS PVT. LTD.
Backend Engineer
Progressed from frontend delivery to primary backend ownership (~70% backend), building Python and Node.js microservices, customer support ticketing, and automated CI/CD.
~70% BACKEND
PRODUCTION TRANSITION
GITHUB ACTIONS
DOCKER COMPOSE TO EC2 WITH ROLLBACK
REST API & RBAC
INTERNAL ADMIN CMS
RAZORPAY
ORDER CHECKOUT FLOWS
05 / TECHNICAL ARSENAL
ENGINEERING STACK
Prioritized production technologies verified across enterprise systems and real-time AI.
01
PYTHON
ASYNCIO EVENT LOOPS · FASTAPI · CELERY · DJANGO
02
NODE.JS
EVENT-DRIVEN BACKEND · EXPRESS · SERVER RUNTIMES
03
TYPESCRIPT
STRICT TYPE SYSTEMS · API CONTRACTS · DATA INTEGRITY
04
FASTAPI
HIGH-CONCURRENCY ASYNC APIS · PYDANTIC V2 · ALEMBIC
05
POSTGRESQL
SCHEMA DESIGN · POOL TUNING (10→25) · QUERY OPTIMIZATION
06
REDIS
ATOMIC LUA SCRIPTS · DISTRIBUTED LOCKS · RATE LIMITING
07
BULLMQ
11 WORKERS ACROSS 12 QUEUES · RETRIES · DEAD-LETTER QUEUES
08
CELERY
DISTRIBUTED ASYNC TASK QUEUES · SCHEDULED JOBS
09
WEBSOCKETS
FULL-DUPLEX REAL-TIME AUDIO · TWILIO MEDIA STREAMS
10
DOCKER
CONTAINERIZED MICROSERVICES · DOCKER COMPOSE · AWS EC2
11
NEXT.JS
REACT SERVER COMPONENTS · HIGH-SPEED DASHBOARDS
12
LLM / VOICE SYSTEMS
STREAMING STT · TTS FALLBACK · DETERMINISTIC STATE MACHINES
06 / FIRST PRINCIPLES
THE HARD PART IS RARELY THE CODE.
IT'S CHOOSING THE RIGHT SYSTEM.
01SIMPLICITY
Simplicity before complexity. A modular monolith beats premature microservices.
02ARCHITECTURE
Architecture before frameworks. Clean boundaries outlast tech cycles.
03MEASUREMENT
Measure before optimizing. Profile connection pools, memory, and query plans, not intuition.
04RELIABILITY
Reliability before scale. State invariants, dead-letter queues, and fault isolation first.
05PRODUCTION
Production over hype. Deterministic guarantees over stochastic promises.
AVAILABLE IMMEDIATELY FOR BACKEND & AI ROLES
LET'S BUILD
SOMETHING USEFUL.
Have a difficult backend, realtime streaming, or production AI systems challenge? Let's talk architecture, latency budgets, and shipping.
01 // CODEBASEgithub.com/ravin972 ↗
02 // PROFESSIONALlinkedin.com/in/ravinderpandey ↗
03 // DIRECT DISPATCHpandeyravinder078@gmail.com ↗