Software Engineer | Building backend services, data pipelines, and AI-enabled applications
📍 San Francisco, CA
I'm a Software Engineer with experience building and maintaining backend services, data pipelines, and AI-enabled applications in production. My work focuses on Python and FastAPI, with hands-on experience deploying and operating systems on AWS and Azure.
I prefer building systems that are reliable, maintainable, and designed with real-world constraints in mind.
Built AI agent analyzing interface screenshots and executing multi-step actions autonomously. Integrated YOLO for UI element detection with GPT-4 Vision for semantic understanding—85% accuracy on 100+ test interfaces.
Tech: Python FastAPI Computer Vision YOLO GPT-4 Vision Celery Redis
Created web app for automated window measurements from photos—processed 500+ images during beta. Built hybrid pipeline with Azure Vision API primary and OpenCV fallback. Implemented LRU cache reducing repeat processing from 4.1s to 0.9s.
Tech: Python FastAPI Azure Computer Vision OpenCV React Azure App Service
Developed resume optimization tool parsing job descriptions with spaCy NLP. Trained custom NER model on 500+ job postings—82% F1 score. Generated ATS-optimized DOCX files—processed 200+ resumes during testing.
Tech: Python NLP Machine Learning spaCy NER Models DOCX Generation
Full-stack eCommerce platform with AI-powered navigation assistant and intelligent product recommendations. Features real-time inventory management, secure payment processing, and responsive design.
Tech: React TypeScript Next.js FastAPI AWS Lambda Gemini API
AI-powered loan processing system using AWS Textract OCR and voice assistants. Reduced processing time by 40% and improved accuracy with 95%+ OCR accuracy.
Tech: React TypeScript Python FastAPI AWS Textract AWS Lambda Voice AI
Real-time ML system processing sensor data streams to predict equipment failures. Processes data with TensorFlow LSTM models and Apache Spark, reducing equipment downtime by 30% with 90%+ model accuracy.
Tech: Python TensorFlow Apache Spark AWS Lambda AWS SageMaker React
Built multiple production ETL pipelines processing large-scale data:
- Migrated 500K+ customer records from MySQL to PostgreSQL
- Processed 200-500GB daily logs with PySpark on AWS EMR
- Optimized batch processing reducing runtime from 42min to 28min
Tech: Python Apache Spark PySpark SQLAlchemy AWS EMR AWS Redshift PostgreSQL
Arkatech Solutions | May 2025 – Present
- Built FastAPI services integrating OpenAI and Azure Vision APIs, processing 2,000+ daily requests
- Optimized PostgreSQL queries—reduced dashboard load time from 6s to 2s
- Implemented error handling with exponential backoff and circuit breakers
- Deployed to Azure App Service with GitHub Actions CI/CD
Anguliyam AI Solutions | Jun 2024 – May 2025
- Developed voice navigation system with FastAPI backend
- Added Redis caching layer—reduced API response time from 3s to 800ms
- Built JWT authentication with role-based access control
- Fixed production bug—improved success rate from 87% to 98%
Cognizant Technology Solutions | Jan 2022 – Aug 2022
- Worked on AWS Lambda functions processing S3 uploads
- Contributed to PySpark jobs processing 200-500GB daily logs
- Built Python ETL pipeline—optimized batch size reducing runtime from 42min to 28min
EPAM Systems | Dec 2020 – Mar 2021
- Built Python ETL pipeline migrating 500K+ customer records
- Optimized analytics query—reduced execution time from 8min to 2.5min
- Developed data quality checks using Pandas
🎓 Master of Science in Computer Science
Florida Institute of Technology | Melbourne, FL | 2024
🎓 Bachelor of Science in Computer Science
KL University | Vijayawada, India | 2022
I'm open to discussing new opportunities, collaborative projects, and technical challenges.
⭐️ From laharikarrotu