Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm a results-driven product-focused software engineer with a passion for building AI-powered platforms and scalable web applications. I enjoy turning complex problems into practical solutions, collaborating across QA, design and operations to deliver robust products. Beyond coding, I thrive in fast-paced environments where experimentation and learning are encouraged. I’m comfortable with backend and frontend tasks, cloud, and data-driven decision making, and I'm always eager to pick up new technologies to ship high-impact features.…I'm a results-driven product-focused software engineer with a passion for building AI-powered platforms and scalable web applications. I enjoy turning complex problems into practical solutions, collaborating across QA, design and operations to deliver robust products. Beyond coding, I thrive in fast-paced environments where experimentation and learning are encouraged. I’m comfortable with backend and frontend tasks, cloud, and data-driven decision making, and I'm always eager to pick up new technologies to ship high-impact features.

Sree Praveen Challa

Web Developer, Full Stack Developer, Data Scientist, +6





I'm a results-driven product-focused software engineer with a passion for building AI-powered platforms and scalable web applications. I enjoy turning complex problems into practical solutions, collaborating across QA, design and operations to deliver robust products. Beyond coding, I thrive in fast-paced environments where experimentation and learning are encouraged. I’m comfortable with backend and frontend tasks, cloud, and data-driven decision making, and I'm always eager to pick up new technologies to ship high-impact features.…I'm a results-driven product-focused software engineer with a passion for building AI-powered platforms and scalable web applications. I enjoy turning complex problems into practical solutions, collaborating across QA, design and operations to deliver robust products. Beyond coding, I thrive in fast-paced environments where experimentation and learning are encouraged. I’m comfortable with backend and frontend tasks, cloud, and data-driven decision making, and I'm always eager to pick up new technologies to ship high-impact features.

Available to hire

I’m a results-driven product-focused software engineer with a passion for building AI-powered platforms and scalable web applications. I enjoy turning complex problems into practical solutions, collaborating across QA, design and operations to deliver robust products.

Beyond coding, I thrive in fast-paced environments where experimentation and learning are encouraged. I’m comfortable with backend and frontend tasks, cloud, and data-driven decision making, and I’m always eager to pick up new technologies to ship high-impact features.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Product Developer Intern at Innovatiview

October 1, 2025 - February 1, 2026

Built an automated OMR bubble-detection system using Python, OpenCV, and NumPy for NEET exam processing, handling 50,000+ answer sheets at 99% accuracy and reducing manual review effort by 80%. Designed a Celery + Redis async pipeline to offload image processing from the main thread, cutting evaluation time by 60%. Wrote troubleshooting documentation for production handoff. Integrated Google Gemini Flash 2.0 API for voice-to-text transcription and NLP-based query categorization, reducing support ticket volume by 45%. Collaborated with QA and operations teams to resolve recurring issues.

Frontend Engineer Intern at Quantum AI

May 1, 2025 - August 1, 2025

Developed 15+ reusable React and TypeScript components with Jest unit and snapshot tests, cutting rendering latency by 25% across 3 product teams. Analyzed performance data using Google Lighthouse; raised score from 72 to 91 via lazy loading, code splitting, and caching – reducing page load to 2.4s for 10K+ monthly users.

AI/ML Research Intern (remote) at National Institute of Technology, Warangal

January 1, 2025 - May 1, 2025

Trained Federated Learning models for IoT anomaly detection across 50+ edge devices, improving accuracy by 15% while preserving data privacy through differential privacy. Implemented a blockchain-based verification layer for model weight aggregation, cutting data leakage risk by 30%. Presented findings to a faculty panel, translating technical concepts for non-technical audiences.

Frontend Engineer Intern at InQuantum AI

May 1, 2025 - August 1, 2025

Developed 15+ reusable React and TypeScript components with Jest unit and snapshot tests, cutting rendering latency by 25% across 3 product teams. Analyzed performance data using Google Lighthouse; raised score from 72 to 91 via lazy loading, code splitting, and caching, reducing page load to 2.4s for 10K+ monthly users.

Full-Stack Engineer (Product Catalog Microservice) at Nexora Marketplace

February 1, 2026 - Present

Built a full-stack product inventory system managing 1,000+ SKUs with Redis caching reducing database query load by 70%, JPA Specifications enabling 5 dynamic filter combinations (brand, price range, category, stock status, rating), and Spring Scheduler triggering automated low-stock alerts for items below configurable thresholds. Developed a React + TypeScript admin dashboard displaying 8 real-time KPI widgets. Set up GitHub Actions CI/CD pipeline achieving 4-minute build-to-deploy cycles with automated testing (90%+ code coverage), Docker image publishing, and Nginx reverse proxy deployment.

Platform Architect at Nexora Marketplace

March 1, 2026 - Present

Architected a cloud-native observability platform with 6 microservices (Go + Python) processing live telemetry via Kafka event streams; Go Log Collector ingests raw HTTP/file-tailed logs, API Gateway streams real-time events over WebSocket to a Next.js dashboard, and Go Alerter deduplicates via Redis 300s window preventing alert storms. Built an agentic Python AI reasoning engine using LangGraph stateful graphs with a 4-stage pipeline (Parser→Detector→Forensics→Remediation) powered by OpenAI GPT-4; performs root-cause analysis across microservice dependency chains and auto-generates scaling remediation commands. Exported Prometheus metrics at /metrics for all Go services.