Hello, I'm
Yashwanth Samudrala
AI Engineer | Building intelligent systems at the intersection of ML and infrastructure
Hello, I'm
AI Engineer | Building intelligent systems at the intersection of ML and infrastructure
I'm an AI engineer and researcher with a Master's in Artificial Intelligence from Boston University. I currently work on AI infrastructure and systems research at an early-stage startup, with a background spanning deep learning, NLP, and applied ML engineering.
My research interests include deep learning, computer vision, and medical AI applications. I have worked on several projects involving image segmentation, predictive modeling, and reinforcement learning.
Name:
Yashwanth Samudrala
Email:
yashwanth.samudrala0512@gmail.com
Phone:
+1 857-961-7309
Location:
Boston, MA
Interacted with students at GHS High School, Kulasekharapuram to raise awareness about cybercrimes, cybersecurity and how to navigate and overcome such situations.
Demonstrated the value of food and water by showing videos, discussing the cons and providing fresh drinking water to the people in Vallikavu, Kerala.
05/2026 - Present
05/2024 - 08/2024
M.S in Artificial Intelligence
Boston, MA | 2024-2025
B.Tech in Artificial Intelligence
Amritapuri, Kerala | 2020-2024
Built a production-grade RAG system and implemented an evaluation harness.
Developed a semantic search system using transformers and implemented a learning-to-rank model.
Autonomous agent for dynamic model benchmarking and evaluation.
Enhanced underwater images using transformers.
Analyzed police overtime budget data to identify trends and patterns.
Leveraging AI and CFM for Improved Stroke Management and Outcome Prediction
Integrates computational fluid dynamics and AI to predict aneurysms
Feature Extraction using GMM, CNN, RNN, KNN and Random Forest Classifier
Using DQN (Deep Reinforcement Learning) for strategic investment decisions
Implemented CNN in MATLAB for restoring degraded images
Using Flask and Spark for real-time social media analysis
MySQL
Google Cloud
Cisco Packet Tracer
Solidworks
Scikit-Learn
Linux
Windows
MacOS
This publication explores the use of PySpark and AWS services to analyze large-scale Amazon customer reviews, implementing a data lake architecture for efficient processing and insights.
A comparative study using GMM, CNN, RNN, KNN and Random Forest Classifier for speaker identification, analyzing the effectiveness of different machine learning approaches.
This research focuses on mapping neural vascular junctions in the human brain using advanced image segmentation techniques on MRI scans, contributing to neurological diagnostics.
A comparative analysis of traditional CNN-LSTM architectures and newer Vision-GPT models for image captioning tasks, evaluating performance metrics and real-world applications.
NPTEL & IIT MADRAS
CISCO
Coursera
NVIDIA
Datacamp
Udemy
yashwanth.samudrala0512@gmail.com
+1 857-961-7309
Boston, Massachusetts
