Himanshu Khandelwal

Designed scalable systems using OOP principles and modular architecture with patterns like Factory, Singleton, and Repository. Built a Python kernel with multi-runtime support for a robotics IDE having Jupyter Notebook and WebSocket using asyncio. Mentored junior developers and contributed to sprint planning and architectural decisions. Automated workflows using AWS Lambda and serverless scheduling. Deployed Dockerized applications with AWS ECS, leveraging infrastructure as code. Built and scaled the Equity Effect platform using Django, GraphQL, Redis, and Celery. Contributed to AI-driven insights with microservices for growth and performance prediction.

Developed scalable Flask REST APIs for document parsing, and image-to-text extraction. Optimized system performance with multithreading and multiprocessing to reduce I/O and CPU bottlenecks. Designed and deployed AWS-based infrastructure (EC2, S3, IAM) with CI/CD, monitoring, and Linux automation. Contributed to system design: API versioning, modular architecture, error handling, and async job orchestration with queues.

Built custom NER model and NLP pipelines for screening and information extraction. Designed and deployed Django REST APIs and web scrapers to gather external data. Engineered ML models and Hive scripts for anomaly detection in financial transactions. Developed DEFT (Deep Extraction Framework Text) for POS-tagging, NER, and summarization APIs using Flask.