Vishwak Teja Ravula
Software Engineer / Backend Engineer • Hyderabad, India • v************@gmail.com • +91*******719 • github.com/••••• • drivetube.ai/•••••
Professional Summary
Backend Engineer with 1+ years of experience building and operating cloud-deployed backend services and REST APIs for production products. Strong Python background with experience delivering FastAPI backends, PostgreSQL schema and query design, containerized CI/CD pipelines using Docker and GitHub Actions, and production monitoring and root-cause analysis. Delivered a document intelligence service with FAISS-backed semantic search achieving ~150ms median query latency across 100K+ documents and shipped a multi-service real-time air-quality monitoring platform with zero-downtime deployments. Experienced diagnosing live incidents, profiling latency-sensitive endpoints to reduce average response time, and writing test coverage and integration pipelines to prevent regressions. Familiar with TypeScript/React frontends and has research and implementation experience in quantum-enhanced ML using Qiskit and C++ for performance-sensitive components.
Technical Skills
Programming Language: Python,C++,TypeScript,SQL,Software Engineering
Frontend Technologies: React,Next.js
Backend Technologies: FastAPI
Databases: PostgreSQL
Version Control & Development Tools: Git,Code Review
DevOps & Infrastructure: Docker,GitHub Actions,Continuous Integration,Continuous Deployment
Testing & QA: Integration Testing
AI/ML Frameworks & Libraries: Qiskit
Vector Databases & RAG: FAISS
Architecture & Design Patterns: Distributed Systems
Quality Assurance & Compliance: Root Cause Analysis
Work Experience
Drytis.ai
Remote
Software Engineer
Worked at Drytis.ai, contributing backend services and REST APIs for a live product used by real users; focused on production reliability, testing and CI/CD.
Tech Stack: Python, RESTful APIs, Docker, GitHub Actions, CI, CD pipelines
- Architected and implemented backend features and versioned REST APIs in Python to support new product workflows and stable client contracts.
- Wrote unit and integration tests and improved test coverage to reduce regression risk during frequent feature rollouts.
- Monitored production service health and performed structured root-cause analysis to diagnose and remediate live incidents.
- Profiled Python request handlers and optimized database query patterns, reducing average response latency by 30%.
- Implemented CI/CD pipelines and automated containerized deployments using GitHub Actions and Docker to enable zero-downtime releases.
- Drove code reviews and design discussions to improve modularity, enforce API contracts, and raise overall code maintainability.
Projects
Real-Time Air Quality Monitoring Platform
Tools Used: Python, RESTful APIs, PostgreSQL, Docker, GitHub Actions, CI, CD pipelines, SQL
- Designed and shipped a multi-service backend in Python providing REST APIs for ingesting and serving time-series air-quality sensor data.
- Implemented PostgreSQL schema, indexes and SQL queries to efficiently store and query time-series readings for analysis and retention.
- Built CI/CD pipeline and containerized deployments using Docker and GitHub Actions to enable zero-downtime releases for the live service.
- Deployed and maintained the cloud-hosted system used by real users, and instrumented monitoring for uptime and data integrity.
Document Intelligence Platform
Tools Used: FastAPI, FAISS, React, TypeScript, Docker, GitHub Actions
- Implemented a FastAPI backend that integrates a FAISS vector index to power semantic search over large document collections.
- Engineered the search pipeline and indexing strategy to achieve ~150ms median query latency across 100K+ documents through batching and optimized retrieval.
- Built the React/TypeScript frontend and established Docker-based build and deployment workflows with GitHub Actions for repeatable releases.
- Documented architecture and prepared deployment runbooks to ease on-call and maintenance operations for the service.
CAPTCHA-less Verification System
Tools Used: Python, RESTful APIs, Integration testing
- Built a Python-based REST service that replaces CAPTCHA by orchestrating third-party verification APIs and deterministic heuristics.
- Implemented robust error handling, retry strategies and edge-case coverage to maintain reliability under third-party failures.
- Developed end-to-end tests and deployment scripts to ensure consistent behavior across environments.
Synthex – Language Evolution Engine
Tools Used: FastAPI, Next.js, PostgreSQL, GitHub Actions
- Developed a FastAPI backend to serve processed language-evolution datasets and public APIs for downstream consumption.
- Implemented a Next.js frontend that consumes backend APIs and visualizes evolution graphs and timelines.
- Designed PostgreSQL schema and scheduled ingestion pipeline to refresh datasets periodically and keep indices up to date.
Quantum-Enhanced KNN Classification
Tools Used: Python, C++, Qiskit
- Learned Qiskit and implemented a quantum-enhanced KNN pipeline in Python, shipping a working production-capable prototype.
- Implemented performance-critical components in C++ to accelerate classical preprocessing and integration with the quantum module.
- Led project architecture and deployment for the 3-member team and co-authored an IEEE paper documenting experimental results.
Education
MVSR Engineering College, Osmania University
Bachelor of Engineering – Computer Science and Engineering • Hyderabad, India • Nov,2022 – Aug,2026
Certifications
GCP Skill Badges: Vertex AI Prompt Design; Gemini in BigQuery; GenAI RAG; MCP/ADK Agents; 5-Day Agentic AI — Google
AWS Solutions Architecture – Cloud Architecture & System Design — Amazon Web Services (via Forage)
JP Morgan Software Engineering & Quantitative Research – Distributed System Design Simulation — JP Morgan Chase (via Forage)
Google for Developers AI-ML Virtual Internship – Applied Machine Learning on Google Cloud — EduSkills / AICTE
McKinsey Forward Program – Professional Skills & Business Problem-Solving — McKinsey & Company
Deloitte Technology, Cyber & Data Analytics – Job Simulation — Deloitte (via Forage)
Career Essentials in Data Analysis – Professional Certificate — Microsoft (via LinkedIn Learning)
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