- Supported developing a secured pipeline using cloud front to generate V4 signature for S3 objects.- Refactored and documented scripts for an internal tool based on Graphana and Python.- Collaborated with senior developers to create a process to version and tag internal repository using Git.

31+ jobs completed for 20+ global clients with 100% Upwork job success rate and Top-Rated Plus Freelancer (Top 3%) worldwide on Upwork. Some of the projects are listed below:- Engineered a GUI-based ML pipeline flow for data processing, training and visualization using AWS and Angular. This helped C-level executives of multiple Pharma firms drive decisions for their companies.(AWS, scikit-learn, spacy) - Built a backend system to store processed data from ML models and efficiently render them to the frontend using AWS services. The product helped Deezer and Bitpanda to reduce churn and prioritize development sprints. (AWS, Serverless)- Performed aspect-based sentiment analysis and deployed a scalable solution on AWS lambda. Refactored existing image processing libraries for the client to decrease the cloud's deployment size and processing time, resulting in an 80% cost reduction for each API call. (Spacy, AWS, NLTK, python)- Created a real-time job scraping pipeline that scraped 3000+ websites daily; parsed the data and published it to the frontend for Radicalist Labs. Also created an internal messaging tool, payment system and internal automation tools. - Spearheaded software development at Scrunch (an influencer marketing platform). Deployed a campaign analytics functionality and developed scraping systems. (Python, AWS, Redis, RabbitMQ, Elasticsearch)- Designed and Developed microservice architecture for Sharpdata Analytics (SaaS-based data integration platform for real estate). Implemented the CI/CD pipeline expediting the deployment rate from 2 to 5 sprints per month. Architected the interface product, which increased the revenue by 280% compared to the previous year. (AWS, Django)

Botonomics is a SaaS-based chatbot platform.- Designed and developed a SaaS platform that creates different types of chatbot support and AI based FAQ agents powered by spacy. Administered team of 6 employees during this journey.- Built the full stack backend using Django and Flask Rest API. Utilised serverless AWS services to build scalable micro-services.- Devised a unique multi-cloud architecture to deploy custom NLP models using serverless technology, reducing the cost of operation by 70%.(AWS, Google Cloud, Spacy)