- De-escalated high priority customer escalations aka SEVs, working with the productionsupport team for the Appreciate investment platform and B2B Investments, conductedaround 100 technical interviews.- Implemented the Order Management System formaintaining users’ cash and holdings ledgers, B2B multi-tenancy, database migration and versioning Tax Documentation and many features to support the mobile, web and other native apps- Innovated novel solutions for challenges such as disruptions in AWS and third partyservices and documented them on Confluence, HLD, LLD, flowcharts & sequencediagrams- Developed Flask, Django REST API, dockerized microservices, Postgres, AWS DynamoDB, Lambda, SQS, Redshift, Cloudwatch, PyPi Python package management, Gitlab CI-CD for backend and middleware.

- Developed Flask, Django REST API, dockerized microservices, Postgres, AWS DynamoDB, Lambda, SQS, Redshift, Cloudwatch, PyPi Python package management, Gitlab CI-CD for backend and middleware.- Mentored engineers, production support staff and QA teams on product architecture, above technologies, best practices and SOP.- Implemented data structures and algorithms for the Order Management System formaintaining users’ cash and holdings ledgers, B2B multi-tenancy, Returnable Grants and presented a case study seminar on AWS Cloudwatch.Access Codes, Advisory locking for race conditions, tax lot accounting FIFO, PDTViolation, SQL Injection defence, VAPT upgrades in compliance to current standards.- We used isort, black and flake8 for PEP compliance & Sonarqube to reduce cognitivecomplexity, security hotspots, improve code quality and JIRA for project management

- Built and conducted product demos of implemented AI Chatbots, CXM and AnalyticsProducts for usage in NU and Blue Bliss Hospitals in Karnataka and Tamil Nadu andMaldives. I conducted successful trials for patient care and a webinar in VIT Innovator’sQuest where I presented the projects to students.- Spearheaded AI projects and Webinars in UI/UX, Natural Language Processing,OData Security using Microservice Architecture. I communicated with QA forproduct delivery & implemented Campaign Management & Promotions for loyaltyrewards programs. Implemented the Full Stack of products using Python, Java,Angular, Vue and ElectronJS.

Task: Architect and document blockchain and AI solutions for healthcare problems in security, speed and reliability using open source tools.Action: Fulfill SCRUM and Sprint requirements for big data analysis of sensor data for Ecobee DYD data challenge and develop the fastest solution for the team.Result: I accelerated the network processing time from 7 days to 10 minutes on Apache Spark giving the team a competitive edge for the Ecobee DYD Challenge

Awards during Tenure: Best Usage of STDLIB APIs, HackWestern 2018Task: Program an automated AI model for financial speech-to-text analysis and Natural Language UnderstandingAction: Conduct knowledge transfer from projects for implementation over corporate network. Use Open source tools for best results in analyzing speech samples across a variety of population demographic of English speakers.Result: I had to verify reliability of sentiment analysis across a microservice architecture for CI-CD in real-world use case scenarios. I documented this in my Co-Op Work Term report and successfully graduated from the University of Waterloo Co-Op program with a Master of Mathematics Computer Science degree.

ResponsibilitiesBeing a TA at the Computer Science Department, I wrote feedback to improve the performance of students, evaluated assignments and proctored exams . I was a TA for the CS courses: 1. Design of Functional Programs 2. Applications Software EngineeringSkillsCommunication, Analysis and Written feedback, Time management, Positive Reinforcement

ResponsibilitiesTask: Build a debugger for SAP Cloud Platform Integration that can operate across Apache Camel.Action: I studied Eclipse's remote debugger and programmed the breakpoint system using Java for Apache Camel for data transfer such as text, images etc.Result: I tested my debugger successfully over the SAP HANA Cloud platform and documented all knowledge and experience gained on Apache Camel. I also hosted NASA Space Apps Challenge and represented the SAP football team. SAP's blog post about my work: https://blogs.sap.com/2017/05/15/sap-ixp-bangalore-finding-the-right-fit/

Task: Develop TargetZIKA, an app to empower citizens to tackle mosquito breeding to curb the spread of the ZIKA virus and Dengue epidemic in India and Brazil. I had to solve the problem of developing a hybrid app for English and Brazilian Portuguese.Action: I used Apache Kafka, MongoDB in the back-end , Krumbs SDK for the mobile front-end and programmed the middleware using Java and UNIX shell scripts.Result: I published my ACM research paper in the U-Media 2017 conference and documented the results of our pilot studies. I successfully conducted the technology transfer back to my university and fostered a collaboration with Janaagraha to implement the technological solution against virus epidemics for the Dengue problem in Bengaluru.

Responsibilities:Developed a pipeline to estimate the volume of a garbage dump using a few images clicked from a phone app. We used Deep Convolutional Neural Networks , Structure from Motion and 3D Reconstruction to model the complex geometric structure and shape of heaps and automatically measure the volume. We published our work in the Google Conference ICVGIP 2016. dl.acm.org/citation.cfm?id=3010061

Responsibilities:P-Comet was a Social Networking platform for university students to collaborate on projects, hackathons and events and form teams. -I was in charge of integration of the full stack of the entire application.-I administrated the team members working on server hosting and SQL database protection- I planned and designed the workflow for enhanced user experience on different browsers.Skills:Javascript, PHP, SQL, Jquery, Bootstrap, Web development, Integration, using perspective and team conflict resolution.