Hi there!
I'm Rishabh.
Cloud & AI Engineer @ Microsoft
๐ Working on AI Foundry and Microsoft Agent Framework
Portfolio
My Project Portfolio!
AI Medical Diagnostic Tool
Developed a web platform with a FastAPI backend and React frontend leveraging a fine-tuned ResNet50 CNN to achieve 78% accuracy in diagnosing Stevens-Johnson Syndrome from optic images.
Full Stack React MUI
Dashboard
React | MUI | Prisma | Middleware | AuthO | ChartJs | CRUD | Services | Express | Morgan | Junit
Image Augmenting Desktop App Java
A image processing software complete with diverse functionalities, file format support, and a robust MVC architecture, ensuring seamless image manipulation.
OpenCV based Fatigue Discernment
Developed a facial landmark-based unique algorithm supporting various human movement parameters for discerning drowsiness or fatigue with high accuracy based on self-proclaimed thresholds.
Autonomous RL Agent Combat Training (vs PPO)
Trained a reinforcement learning agent using Q-learning & Monte-Carlo methods to simulate pathfinding, combat strategies, and environment interactions in OpenAI Gym, leveraging state hashing and ฮต-greedy exploration.
Perception Systems and Behaviour in AI
This project demonstrates an AI system that dynamically adapts its spatial navigation strategies using Dijkstra's algorithm for optimal pathfinding in grid environments.
Gitlab CICD Automation
Incorporated the GitLab API for creating a user interface for delivery teams to have ease of access upon using GitLab and its features, avoiding the use of any command line input. Automated the end-to-end project which led to zero training cost for onboarding new members and more accurate creation of repositories and commits
Tech I have worked with:
Python
Java
MySql
PostgreSql
Neural Net
Open CV
GitHub
Prisma DB
Rest APIs
Flask
Express
Node
Typescript
React
C
Git
C++
Figma
HTML
CSS
JS
Firebase
Material UI
AuthO
Flutter
Android
Dart
Azure
Resume
My Work Experience
Cloud and AI Engineer
at
Microsoft
โข Contributing to building innovative cloud
solutions and software products at scale.
โข Collaborating with cross-functional teams to design and implement robust software systems.
โข Driving technical excellence and best practices across engineering initiatives.
Software Developer II
โข Implemented Python scripts leveraging GitLab API
to automate file conversion processes, optimizing pipeline-flow efficiency within the team at Dell
Technologies.
โข Elevated to a pivotal role within the Business Intelligence department, focusing on GitLab CI/CD
Automotive pipelines, and contributed to the development of performance quantification dashboards
using React.
โข Recognized with an Inspire award for Innovation for significant contributions to ELT Automation
via DataOps, enhancing data processing efficiency and effectiveness.
Data Science Intern
at
Bitgrit Inc
Demonstrated adaptive usage of multiple ML Models and worked persistently towards the timely completion of tasks involving researching a Kubeflow-centric architecture, developing technical PoCs, and upgrading Bitgritโs AI portfolio as a whole.
Techical Dev Intern
at
Gramiksha
Ensured that Gramiksha's web infrastructure has a 99.9% up-time, whilst constantly optimising the website for performance and adding functionalities.
My Education
Northeastern University
Masters in Computer Science
Courses:
CS:5010 Program Design Paradigm
CS:5200 DB Management Systems
CS:5800 Algorithms
CS:5610 Web Development
CS:6620 Cloud Computing
CS:5100 Artificial Intelligence
CS:5150 Game Artificial Intelligence
CS:5340 Computer/Human Interaction
Manipal University Jaipur
Backelors of Technology in Information Technology
Courses:
CS:1401 Operating Systems
CS:1505 Automata & Compiler Design
CS:1702 Advanced Data Structures
CS:1301 Computer Architecture
CS:1433 Micro Processor and Controllers
CS:1630 Data Mining and Warehousing
Research
Check out my Research Papers & Patents
Software Centric Driver Fatigue Discernment System Using Computer Vision
Can be viewed at: IEEE Research Journal (click here)
An Analysis and Comparison Of Deep-Learning Techniques and Hybrid Model for Sentiment Analysis for Movie Review
Can be viewed at: IEEE Research Journal (click here)
Comprehensive Sarcasm Detection using Classification Models and Neural Networks
Can be viewed at: IEEE Research Journal (click here)
Spontaneous Driver Fatigue Discernment System Using Artificial Intelligence
Can be viewed at: IEEE Research Journal (click here)
MONITORING CENTRIC DRIVER FATIGUE DISCERNMENT BASED ON COMPUTER VISION
Can be viewed at: https://iprsearch.ipindia.gov.in/publicsearch
Intelligent ***** ***** Indexing in ##########: A Multimodal Approach Employing OpenCV, YOLO, and Text-based Large Language Models
Ongoing Work. Chat with me if you wanna contribute or get to know more.
More About Me
Turning complex problems into simple designs and then solving them!
As a Cloud and AI Solutions Engineer, I design and build scalable cloud architectures and intelligent AI/ML solutions that drive innovation. In addition to my professional work, I have organized multiple city/national level events, including hackathons and entrepreneurial competitions, overseeing teams of nearly 200 individuals. As an educator and mentor, I've shared my technical knowledge through various platforms, while also serving as a judge and mentor in numerous tech-based events. Additionally, I possess a strong passion for design, utilizing my skills to enhance product aesthetics and user experience. Whether it's through refining UI/UX or crafting compelling branding elements, I thrive on leveraging my design skills to create exceptional digital solutions. These experiences collectively shape my multifaceted approach to solving complex problems and driving innovation.
Leadership Exp Doc: Goto Leadership Doc โ
Teaching Exp Doc: Goto Teaching Document โ
Design Exp Doc: Goto Design Portfolio โ
Contact
Let's Connect! Reach Out to Me! Network Together!
Done!
Thanks for your message. I'll get back as soon as possible.