Event Co-ordinator, Lead for India Mobile Congress 2019 at New Delhi. Qogno was the Technology Vision partner for India Mobile Congress 2019

- Campus Experts are student leaders that strive to build diverse and inclusive spaces to learn skills, share their experiences, and build projects together. 
- Organized in-person and online conferences, meetups, and hackathons, and maintained open-source projects.

Assisting all students of the academy of various background with full stack web development, programming, and development by conducting occasional tech talks

- Built an automated machine learning workflow for user personalization for an e-commerce site
- Architected a sequence-based reinforcement learning algorithm that can redirect users to a certain useful product or a page based on their line of work

- Redesigned a deployment process to automate the deployment of full-stack applications by sparing up to 20 hours a week of manual work, saves $100 a month on the research budget.
- Engineered a web application to derive student job application insights 20% faster than previous techniques.

- Pixxel is a space data company, building a constellation of hyperspectral earth imaging satellites and the analytical tools to mine insights from that data. 
- Supervised a team of 10 on creating multi-regional geospatial analytics products with 50% faster map rendering technology, sparingly computes 75% more efficiently than legacy systems.
- Mentored and administered multiple dynamically generated ETL and Machine Learning Data pipelines to process over 1TB of data per day, resulting in a 20% improvement in platform usability for customers.
- Implemented Software Engineering, DevOps practices to provide 100% automation of code, testing, infrastructure, integration, and deployment for developers and data scientists. Conserved around $10,000 a year on cloud computing and operating costs.

- Facilitated a team of 4 on building an artificial intelligence chatbot API for developers to provide a seamless integration in less than 5 mins for static sites, integrated with 3 start-ups.
- Influenced data analytics, software engineering consultancy services for small businesses to generate a revenue of over $10,000 for the first year.
- Directed and initiated the team to be the runner-ups in the LinkedIn-Swiggy data science hackathon (out of 10000) and to be finalists in the Microsoft Innovate Hackathon (out of 1000) for startups in the year 2019.

A bunch of drunk (not literally) college students thought we'd take on Google Cloud and AWS on building the next gen ML Ops tools but failed miserably (blaming COVID for this). However, the learning experience on building Machine Learning platforms, incorporating DevOps, chatbots as well as other services were invaluable.

- Worked at the Biotechnology Labs, PES University under the guidance of Prof. Roshan Makam. Data Preprocessing, Analyzing and Manipulation of over 117,000 proteins from Protein Data Bank (PDB). 
- Parsed PDB files using Biopython and Pandas. Broken Protein's Amino acids into multiple fragments and calculated RMSD to re-structure every protein's sequence reducing manual work by 300%. 
- Published a research paper for the same.

- This was an unexpected addition to my career where I had an opportunity to work as a researcher under an ex-ISRO scientist in a specific domain. 
- Worked on applying Machine Learning algorithms for Electrical Impedance Tomography (EIT). Also, worked on Internet of Things (IoT), using Machine Learning to aid Home Automation

- This was my first internship where I learnt how to build complex web applications and working with teams on building the same. 
- Worked as a Full Stack Web Developer in aiding building on a tourism management application prototype along with a retail warehouse management application prototype.

- Spearheaded a task recommendation engine for a coding platform and automated the process of assignment of tasks to students to improve student engagement on the platform by 60%.
- Built a technology-informative chatbot, was the most popular app for 2 months on Google Assistant among 100s of bots that were qualified in a month.
- Streamlined and remodeled an auto deployment process for a web application that reduced manual effort of team members having to run multiple queries for 30 minutes to under 10 seconds.
- Designed and implemented a classroom-management tool to reduce manual effort of two teaching staff by 2 hours a day, automatically grading student assignments and clustering students into study groups.

- Started my development career by building multiple static and full stack web projects while I was in college. 
- This period made me more interested in programming and helped me pursue a career in software engineering. 

Some of the key features of all the projects included database design, admin panel, login/sign-up, payment gateway integrations and email/SMS Integration along with deployments

Machine Learning Engineer

hashnode

devto

substack

medium

github

gumroad

productHunt

dribbble

Sudhanva Narayana | Peerlist Profile

This project demonstrates techniques and strategies to optimize power consumption when there is a limited supply, using Machine Learning to predict the amount of electricity consumed at a given hour for a given device specifically for home 

Optimizing Power Consumption on Home Appliances using Machine Learning

This report will be of interest for Health Care Data Analysts, Data Scientists, Doctors and Medical researchers. This report provides an overview of current practice of Electrical Impedance Tomography (EIT), its imaging and use-cases. Elect

Performance of various Machine Learning Algorithms on Electrical Impedance Tomography Images

A classroom management tool built on Rails.

Key Features: Submitting Assignments and Reviewing

Classroom

A project management tool built using Ruby on Rails. This project is a part of Summer Training at DCT Academy

TasksBox

A time based instant messenger for Android. (Android Studio and Firebase) 
https://github.com/nsudhanva/Cryptick