May 2020 – May 2021 · 1 yr · Hyderabad, Telangana, India

• Backend web development & operations of VISA Registration in International Seller Services to enable 65k sellers be VAT compliant in several marketplaces.
• Reduced mismatches/overSLA b/w Amazon & 3rd parties by 80% using SQL scripts running daily in AWS Glue on data in Redshift & S3.
• Increased NPS by 40 points by bug fixes & multiple feature launches. Part of Best Team of Q3, Q4 2020.
• Tech stack: Java, Python, SQL, Javascript, AWS Lambda, S3, Athena, Glue, Amazon DynamoDB, Cloudwatch, Redshift.

Jan 2020 – May 2020 · 4 mos

• Google Cloud engineering & data warehousing in HSBC Data Services.
• Reduced access latency by 40% by migration of data & services to Big Query.
• Tech stack: GCP Big Query, Python, Bash, SQL, IBM Db2, IBM InfoSphere DataStage, Alteryx, QlikView, PostgreSQL

Jul 2019 – Dec 2019 · 5 mos

• Underwent in-house training program for Java stack development.
• Part of the International Global Graduate Induction held in London, UK. Participated in events related to team building, empathy deep dive & talks by senior leadership.
• Part of international cohort of ~200 sent to Infosys Mangalore Campus for additional training encompassing API, mobility, cloud, data science & cybersecurity.

Jan 2019 – May 2019 · 4 mos · Kharagpur Area, India

• Achieved accuracy of 93% & 75% for apnea detection & sleep stage inference
• using cannula flow input via 1D CNNs & deployment as web app for final year
• capstone thesis under Dr. Aurobinda Routray.
• Tech stack: Python, Flask, Keras, Tensorflow, HTML/CSS/JS, GCP

Jul 2018 – Nov 2018 · 4 mos · Greater Chennai Area

• Teaching assistant for Programming in Java(SWE1007) for a batch of 50 M.Tech students of 2017 batch under Professor Thomas Abraham J.V.

May 2018 – Jun 2018 · 1 mo · Chandigarh, Chandigarh, India

• Achieved accuracy of 80% & 73% for pneumonia detection using frontal X-Ray of a patient & estimation of car damage, location & severity using 2D CNNs in Keras along with deployment as a web application, Android application & Google Cloud API.
• Extracted data & images of 441 houses/independent rooms by writing + executing a Python script along with RPA tool usage to create a data set for property dealing.
• Tech stack: Python, Flask, Keras, Tensorflow, Java, Android, HTML/CSS/JS, GCP

Jan 2018 – May 2018 · 4 mos · New Delhi Area, India

• Achieved accuracy of 95.6% and 81.25% for epilepsy detection and melanoma prediction using deep learning models in Keras along with deployment as a web application.
• Tech stack: Python, Flask, Keras, Tensorflow, HTML/CSS/JS