About

Harsh Gangwar is a highly skilled Software Development Engineer II at Flipkart with over 6.95 years of relevant experience in the field. He is passionate about solving customer problems with modern technology and scaling and optimizing product portfolios that matter. Harsh is a results-driven individual who quickly adapts to new insights and focuses on key results. Harsh's professional skills include expertise in Python, Java, Django, Flask, Shell scripting, JavaScript, MySQL, Postgres, MongoDB, ElasticSearch, RabbitMQ, Redis, and various AWS services such as Serverless Lambda, EC2, ELB, DynamoDB, DocumentDB, ElastiCache, S3, Aurora, API Gateway, and Athena. He has an impressive track record of designing and implementing complex systems using these technologies. In his previous role as a Software Developer at Delhivery, Harsh re-architected the existing address fix engine, redesigned the queuing system from Disque to RabbitMQ with Python celery, and significantly reduced the model training time by 65%. He also wrote an automated training script to reduce manual effort. As a founding team member of Home Assure Team in Zopper, Harsh contributed to various applications and services such as the customer app, Home Assure Service, and Foundation Service. He designed and implemented user-role and privilege on API level, resolved challenging problems by creating a base project for all using the Django Rest Framework, and worked on API migration from the existing system to the new system without affecting real-time operations. Harsh holds a Bachelor's Degree (Hons.) in Computer Science from Dr. A.P.J. Abdul Kalam Technical University and completed his high school education from Saraswati Vidya Mandir Inter College Rampur. He is a skilled software engineer with expertise in AWS, Python, RabbitMQ, MongoDB, Elastic Search, Django, Redis, Flask, Postgres, Amazon Athena, Java, JavaScript, MySQL, and Backend testing. Overall, Harsh is a highly skilled and motivated software engineer with a passion for solving customer problems and scaling and optimizing product portfolios.