Shashank Hegde Email & Phone Number

Bangalore Urban, Karnataka, India

Cupertino, California, United States

- Architected and implemented a comprehensive backend infrastructure using Golang (Gin Framework) and MySQL database.- Features built: Payments Service, Job Posting and Application Flow (async video interviews, applicant search with custom filters, AI applicant evaluation), User Engagement Modules (Profile Timeline, Notifications, Vouching Mechanism, Checklists)- Enhanced system performance by 70% through Redis caching, strategic MySQL database indexing, asynchronous workers and efficient pagination in REST APIs, improving response times and reducing server load.- Built a Resume parser using Langchain and OpenAI in Python (FAST API Framework) which led to the onboarding of 20,000 users.- Developed a search engine using Meilisearch with dynamic filters and faceted search for the recruiter-facing dashboard.- Automated Open Graph Image generation using NodeJS and Vercel-Satori, optimizing content sharing across platforms.AWS Infrastructure Management:- Orchestrated the migration of four services from AWS AppRunner to EC2 instances with auto-scaling and load balancers, improving system visibility and performance.- Implemented Infrastructure as Code (IaaC) scripts through Pulumi and Bash for CI/CD deployments and scalable, cross-region, multi-environment replication.- Built end-to-end HLS video streaming using AWS Elemental MediaConvert, Lambda, CloudFront, and S3.- Implemented a CDN-based image-serving framework using AWS Cloudfront and S3.

Bangalore Urban, Karnataka, India

- Designed and implemented ETL pipelines using Apache Airflow and Mage AI with Python toefficiently process vast datasets originating from diverse food and retail platforms like Amazon, and Foodpanda, and social media platforms like Instagram and Twitter.- Managed the integration of these pipelines on cloud servers like Jenkins to handle approximately a billion data points, ensuring accurate tagging of products/posts using Natural Language Processing (NLP) and language-specific tokenization tailored to specific client requirements.- Implemented multithreading and parallel processing within these pipelines for enhanced efficiency, reducing the run time by 50%.- Worked with AWS services such as EC2, S3, DynamoDB, and Athena for enhanced data management.- Performed data collection from retail platforms using BeautifulSoup and proxies, and data collection from the Google Trends API to obtain Google Search and YouTube Search data of specific trends.- Key technologies utilized include Python, AWS, REST APIs, ElasticSearch, Apache Airflow, Jenkins Mage AI, and Docker to streamline data processing and optimize workflow efficiency.

Bachelor Of Technology - Btech, Electronics And Communications Engineering, Cgpa: 8.65

Activities and Societies: Won prizes in five hackathons. Received scholarships for academic excellence. Organized a hackathon attended.

Minor Degree, Computer Science

Pre University

Activities and Societies: • Secured a rank of 1022 in KCET 2020, among more than 200,000 aspirants.