AI/ML & BACKEND ENGINEER

Hi, I'm Akshit Sharma

A final-year B.Tech (AI & Data Science) student at Maharaja Agrasen Institute of Technology, passionate about building cloud-native AI systems.

Akshit Sharma

About Me

Tech enthusiast with a passion for problem solving and building innovative solutions.

My Journey

I'm an AI/ML & Backend Engineer specializing in cloud-native systems, currently pursuing my B.Tech in AI & Data Science at Maharaja Agrasen Institute of Technology with a CGPA of 8.96.

As a Research Intern at the Directorate of Research, Government of Arunachal Pradesh, I'm developing low-resource speech-to-speech translation pipelines for endangered languages.

I'm passionate about building scalable AI systems and bridging the gap between research and production.

Education

B.Tech, AI & Data Science

Maharaja Agrasen Institute of Technology • CGPA: 8.96

My Tech Stack

Python Python
PyTorch PyTorch
TensorFlow TensorFlow
Docker Docker
Kubernetes Kubernetes
AWS AWS

Experience

Research Intern

Directorate of Research, Government of Arunachal Pradesh (Aug 2025 - Present)

Developing speech-to-speech translation pipeline for endangered languages using Wav2Vec 2.0, MarianMT, and Tacotron 2.

Featured Projects

A selection of my recent work showcasing my skills and creativity.

OpenStack Cloud Management

OpenStack Cloud Management System

Natural language interface for OpenStack infrastructure with AI agent translation to API calls.

Python OpenStack SDK Gemini Docker
View on GitHub
SignEase

SignEase - ASL Video Platform

Video chat platform with American Sign Language detection and translation.

React Node.js TensorFlow MediaPipe
View on GitHub
Chatbot Platform

Universal Chatbot Platform

Fine-tuned Llama3.1 LLM with RAG integration for domain-specific retrieval.

Python FastAPI AWS Kubernetes
View on GitHub
Credit Card Fraud

Credit Card Fraud Detection

XGBoost model analyzing 1M+ transactions to detect fraudulent activity.

Python XGBoost SageMaker scikit-learn
View on GitHub

Publications

My research contributions in the field of computer science.

IEEE Publication

Computer Vision Based Smart Leaf Disease Detection System

Published in 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)

Efficient and accurate identification of plant leaf diseases is crucial for modern agriculture, ensuring optimal crop yield and quality. The method uses colours in images and K-Means clustering to identify diseases early through image processing techniques.

Computer Vision Image Processing K-Means Clustering
View Publication

Achievements

Milestones in my academic and professional journey.

Hackathon

AceCloud X RTDS Hackathon '25

Winner of AceCloud X RTDS Hackathon 2025 for developing an innovative cloud-native AI solution.

Google Cert

Google AI Certifications

Completed multiple Google AI certifications including Generative AI and Vertex AI prompt design.

Pwskills

Data Science Certification

Certified in Data Science by Pwskills with focus on ML algorithms and data analysis.

AWS

AWS Solutions Architect

Completed AWS Solutions Architect Virtual Experience Program on Forage.

Get In Touch

Ready to collaborate or have questions? I'd love to hear from you!

Contact Information

Feel free to reach out for potential collaborations or just to say hello!

Email

akshitsharma7096@gmail.com