Gajula Krishna Koushik

AI Researcher

Bengaluru, Karnataka, India2 yrs 3 mos experience

Highly Stable

Key Highlights

Achieved 94%+ accuracy in autism detection systems.
3rd place winner at Smart India Hackathon 2024.
Architected a real-time encrypted messaging platform.

Stackforce AI infers this person is a Healthcare-focused ML Engineer with expertise in Deep Learning and Computer Vision.

Contact

Skills

Core Skills

Deep LearningComputer Vision

Other Skills

Node.jsTensorFlowKerasOpenCVDenseNet-121ResNetn8nRetrieval-Augmented Generation (RAG)FastAPIPython (Programming Language)Machine LearningReact.jsJavaScript

About

Passionate ML & Deep Learning Engineer with expertise in building AI-powered solutions for social impact. Currently developing autism detection systems using advanced computer vision (DenseNet-121, ResNet) achieving 94%+ accuracy. Driven by results: 3rd place winner, Smart India Hackathon 2024 (blockchain-based supply chain solution). Architected a real-time encrypted messaging platform (Flask + WebSockets) serving seamless E2E communication. Designed comprehensive campus network topology using Cisco standards. Technical expertise: Python, JavaScript, React, Node.js, Flask, MongoDB, MySQL, AWS, Docker, Git. Proficient in TensorFlow, Keras, and OpenCV for computer vision tasks. Strong foundation in operating systems, networking protocols, and distributed systems. Passionate about creating inclusive technology for individuals with autism and building scalable backend systems. Open to ML/AI engineer roles and contributing to innovative projects that make a difference.

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Gitam deemed university

2 roles

Personal Developer - Private Python WebChat Platform

Jun 2024 – Present · 1 yr 10 mos

Node.js

AI Research Engineer - Autism Detection using Deep Learning

Jan 2024 – Present · 2 yrs 3 mos

Developed state-of-the-art deep learning models for autism spectrum disorder detection through computer vision analysis. Implemented DenseNet-121 and ResNet architectures achieving 94%+ accuracy on medical imaging datasets. Processed and augmented over 10,000 medical images using OpenCV and TensorFlow. Conducted extensive research on autism detection methodologies, created comprehensive documentation, and prepared technical reports for academic publication.

TensorFlowKerasOpenCVDenseNet-121ResNetDeep Learning+1