Srikar Sankranti

[in]coming AI/ML Intern @ LinkedIn | MS Data Science @ Texas A&M University | GRA @ TEES | Building scalable AI systems for healthcare (GenAI, LLMs, Agentic AI) | B.Tech @ Amrita

Role
Ai Software Engineer (Research Assistant) at Tees Workforce Development
Location
College Station, TX, US
LinkedIn followers
500 followers

About Srikar Sankranti

MS Data Science student at Texas A&M University, deeply passionate about the intersection of data, intelligence, and impact. My core interests span Machine Learning, Deep Learning, LLMs, NLP, Retrieval-Augmented Generation (RAG) architectures, and Statistical Modeling. I’m particularly fascinated by how these technologies can be used to solve real-world problems at scale.I enjoy working with data end-to-end—from analysis and modeling to data visualization and deployment. With a strong foundation in Python and a growing portfolio of applied projects, I’m eager to collaborate, learn, and contribute to high-impact AI solutions. Always open to connecting with like-minded professionals and researchers who are driven to turn data into action.

Experience

  1. Ai Software Engineer (Research Assistant)

    Tees Workforce Development

    Jan 2026 — Present

    Built a real-time urban traffic monitoring platform that ingests millions of live camera frames using Kafka-based streaming pipelines.• Applied YOLOv8 computer vision models combined with XGBoost and TensorFlow neural networks to predict traffic congestion and generate safety risk scores from 1M+ daily records.• Designed scalable ETL pipelines to process multi-source traffic sensor data, enabling large-scale statistical modeling and data mining.• Developed machine learning models for anomaly detection and search relevance, reducing manual fault identification time by 40%.• Deployed production-grade analytics dashboards using FastAPI, Streamlit, and Mapbox on GCP Kubernetes for real-time city-wide traffic insights.• Implemented containerized ML infrastructure using Docker and Kubernetes, delivering scalable real-time traffic analytics systems.Tech Stack: Python, TensorFlow, XGBoost, YOLOv8, Kafka, TimescaleDB, FastAPI, Streamlit, Docker, Kubernetes, GCP.

Education

  • Amrita Vishwa Vidyapeetham

    Bachelor's degree, Electrical and Computer Engineering

    2020 — 2024

  • Texas A&M University

    Master of Science - MS, Data Science

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Srikar Sankranti — Ai Software Engineer (Research Assistant) at Tees Workforce Development in College Station, TX, US | Unifers