Akash Bangera Email & Phone Number

Bellevue, Washington, United States

San Jose, California, United States

Working on Data Lens

Seattle, Washington, United States

• Executed Self-Annotation in an Audio Data Collection Alexa skill which greatly decreased the operational cost and truncated the product-go-to-market timeline.
• Gathered the metadata required at runtime from the complicated skill architecture, and auto-populated the Annotation and Transcription content types before successfully storing them on a secure data store using Lambda.
• Corresponded with other teams regarding blockers, documented all the discussions & findings, wrote unit & integration tests, prepared a QA Test Support documentation, and assisted new hires in onboarding.

Stony Brook, New York, United States

Conducted Office Hours, and assisted in designing and grading assignments, projects, and exams for the course ESE 344: Software Techniques for Engineers (Algorithms & Data Structures in C++)

Mumbai, Maharashtra, India

• Involved in designing a Multiprocessing based Workflow Orchestration Engine - Cerescope D-tect, which is the platform used by the company's products, resulting in acquiring clients and generating profits.
• Spearheaded the development of the platform mentioned above for 2 years, which was used by the leading financial institutes of India, handling tens of thousands of documents daily.
• Maintained the platform after deployment, updating existing properties, adding new features, fixing bugs, and doing end-to-end testing.
• Developed packages, micro-services, and web services for products such as Invoice Information Extraction, Document Redaction, and Bank Statement Reading in Python and Java.
• Built an online learning intent classification model using Scikit-Learn and an entity recognition model using spaCy achieving 85% accuracy on client data at the time of deployment and increasing to 93% within 2 weeks.
• Mentored interns in projects such as ROI detection using Faster-RCNN and Mask-RCNN, deploying the TensorFlow Object Detection model on Android Applications, and Post OCR Text Correction using Bayesian Framework.

Mumbai, Maharashtra, India

• A startup with its flagship product Skymeet - a Hyper-Connectivity Platform that provides geography-based proximate connectivity for meetups, events, services, and more through seamless discovery and closed group user.
• Developed the MVP for the company using Android APIs and was involved in the rapid development and prototyping of the application.
• Worked with Google Maps API, RESTful API with JSON, and popular 3rd party libraries like volley, retrofit, Picasso, firebase, etc. Implemented firebase analytics, event logging, and crashlytics.
• Cooperated with designers to conceptualize the idea and make a smooth UI.

Master Of Science - Ms, Computer Engineering

Bachelor Of Engineering (B.E.), Electronics Engineering