Akash Rai
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Akash Rai
Work Experience
Empowering Creativity through
February 2025 – Present
Inferigence Quotient
AI Engineer Intern
Integrated LLM-powered custom chatbots into WhatsApp, Telegram, and Discord Developing RAG-based applications for plotting out visualizations using tools and function calling with locally run LLMs.
September 2024 – February 2025
AI Planet
AI Developer Intern
Built an assessment generator which helps interviewers in assessing candidates Developing Multi-Agent architectural applications for assessment question generation with Langgraph and Langchain.
March 2024 – August 2024
DeepLogicAI
AI Intern
Integrated a high-capacity custom RAG solution into backend infrastructure using FastAPI, Executed metadata migration from PineconeDB to MySQL, Debugged and analyzed (performed EDA) on pipeline outputs at each stage to increase final result relevancy.
July 2023 – September 2023
AEROGO
AIML Intern
Optimized RPi4 object detection with TensorFlow Lite Integrated cameras and sensors for an amphibious drone and implemented port forwarding on RaspberryPi 4.
June 2023 – July 2023
Intel
Unnati Trainee ’23 & ’24
Fine Tuned BERT for clause classification of business contracts and also built a FastAPI backend for the webApp Devised a robust Fake News Detection system utilizing BERT.
My Skills
Core competencies that drive my performance.
Languages
Python92 %
C91 %
C++97 %
Frameworks
Tensorflow98 %
PyTorch94 %
Flask92 %
Django90 %
FastAPI91 %
Developer Tools
Git96 %
Docker96 %
Google Cloud Platform97 %
AWS98 %
DVC90 %
GitHub Actions99 %
Azure cloud97 %
Knowledge Base
Computer Networks99 %
Operating Systems92 %
SQL93 %
Kalman Filters92 %
Bayesian Optimization90 %
In-depth ML knowledge99 %
Familiarity with Boards
Arduino UNO99 %
RaspberryPi 4B+98 %
STM32 Microcontroller90 %
ESP3296 %
Education
Empowering Creativity through
Dec 2021 – July 2025
Bachelor of Engineering, Electronics and Communication
NITTE Meenakshi Institute Of Technology
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My Projects
Customer Experiences: A Tapestry of Happy Moments
Remedy.ai
Engineered an innovative health assistant application featuring localized language capabilities; Made enhanced functionalities for secure medical document uploads and smart recommendations derived from individual user profiles, enhancing overall engagement.
Photosage
Created an AI fashion-model (Rose Celika) that helps marketing in social media by advertising products for brands with ease Used controlNets for advertising the product with out model. While Dreamboothing with Stable Diffusion - XL for making our AI model.
Chicken-Disease Prediction End-to-End Deployment
Created an MLOps project, deploying a containerized Flask application on AWS with CI/CD via GitHub Actions, making predictions based on user-uploaded images.
Contact Information
Email : [email protected]
Phone : +91 8097253859
LinkedIn : https://www.linkedin.com/in/akash-rai1701
Github : https://github.com/akashrai2003
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