SAI SHANMAT SRIKAR AJAAY K

Technical Lead at HCLTech with expertise in Python and Gen AI. Proven track record in optimizing image processing runtimes by over 60% and developing innovative web solutions using ReactJS. Strong problem-solving skills and a passion for leveraging technology to drive impactful results in software development and machine learning.

Tensorflow 2.0: Deep Learning and Artificial Intelligence, Deep Learning, Tensorflow, Machine Learning, Artificial Intelligence, Neural Networks

AI Project Manager 

Key Skills: Python, LLM, SQL, Prompt Routing, Prompt Engineering DuckDB, google gemini, Langchain,

Worked as a developer where we developed a task tracking application using Pandas and DuckDB. Used the Gemini API to parse queries to SQL Used Langchain with Groq and LLAMA model for outputs This project helps with task allocation, finding blockers, and task visibility

ECG Monitoring for LifeSigns 

Key Skills: reacts, JavaScript, CSS

Worked as a front end developer to develop an application to monitor ECG of patients. We can download patch information, assign patches and discharge patients.

Lung Disease Classification

Key Skills: ML DL Python

The objective of the project is to develop a deep learning-based system for the automated classification of lung diseases using CT scans. The system aims to accurately classify CT images into different disease categories and predict the severity of lung involvement. This project aims to assist medical professionals in diagnosing lung diseases more effectively and efficiently, potentially leading to improved patient outcomes and treatment strategies. A dataset of lung CT scans labeled with the type of disease. We propose a methodology that leverages the EfficientNetB0 model for accurate and efficient prediction of both the type of lung disease and the severity of lung involvement from CT scans.The output we get will be the type of disease that the input lung CT. It will also predict how much severe the disease has affected the lungs.

Data detection from Medical Devices 

Key Skills: python, google gemini, prompt engineering

Using Gemini API, we developed a Python script that could extract values from medical devices like BP Monitors, Sugar monitor and pulse oximeter. It reads the value and displays the device type