Hey, I'm

From late-night model tuning to real-world ML deployments, I live deep in the AI/ML grind. Right now? I'm turning ideas into working systems — one line of code at a time.

Saketh Lingerker

Experience & Education

My professional journey and academic background

AI/ML Research Intern
IIIT Hyderabad
Nov 2024 - Jun 2025
Conducted research on Voice Activity Detection to enhance YouTube video summarization.
  • Implemented Rapid Voice Activity Detection algorithms
  • Collaborated to enhance AI-driven summarization models
B.Tech Computer Science
JNTUH University
2021 - 2025 | 7.5 CGPA
Specialized in Artificial Intelligence, Machine Learning, and Software Development.
  • Coursework in Deep Learning, NLP, and MLOps
  • Developed multiple AI-based projects
  • Member of Coding Club and Technical Committee
Achievements
Certifications & Leadership
  • IIIT-Hyderabad AI/ML Training & Research Internship
  • AWS Cloud Practitioner Essentials Certification
  • Coding Club Mentor for 50+ students
  • Main Coordinator for College Fest

Technical Skills

Everything I’ve used to build, train, deploy, and experiment like a tech beast 🚀

Languages

Python C C++ SQL

Libraries & Frameworks

Flask NumPy Pandas Scikit-learn TensorFlow Keras Seaborn Matplotlib OpenCV LangChain

Technologies

Machine Learning Deep Learning Generative AI MLOps Streamlit

AI/ML Specialization

Computer Vision Natural Language Processing Neural Networks Speech Processing Data Analysis

Tools & Platforms

Git GitHub Docker MLflow DVC CI/CD Google Cloud Platform AWS

Databases

MySQL MongoDB

Projects

My recent work and technical contributions

Vehicle Insurance MLOps Pipeline

End-to-End deployment of ML pipeline with MongoDB, AWS, and CI/CD automation.

  • Built an MLOps pipeline using Python with MongoDB for data storage
  • Utilized AWS (S3, EC2, ECR) for deployment
  • Implemented GitHub Actions for CI/CD automation
Python AWS MongoDB CI/CD

Smart Resume Matching Platform

ATS-style resume evaluation tool with Gemini Pro Vision integration.

  • Developed a resume evaluation tool using Streamlit and Gemini Pro Vision
  • Simulated HR and ATS-style feedback
  • Generated match scores and keyword insights to optimize resume-job alignment
Streamlit Gemini NLP

AI-Powered Precision Agriculture Platform

Crop recommendation system with 98% accuracy deployed as Flask app.

  • Developed a multi-class crop prediction model using deep neural network
  • Designed and deployed user-friendly web application for farmers
Python Keras Flask TensorFlow

ClearView – Interactive Air Quality Insights

Interactive AQI dashboard with real-time insights and 95% data accuracy.

  • Enabled real-time insights with 95% data accuracy
  • Streamlined data collection and preprocessing
  • Delivered actionable visualizations and user-friendly interface
Python Power BI Streamlit Data Visualization

Polyglot AI – Language Detection System

NLP model capable of detecting and classifying text into multiple languages.

  • Developed NLP model for language detection with high accuracy
  • Utilized tokenization, stopword removal, and vectorization
  • Trained Linear SVM (SGDClassifier) for effective identification
Python Scikit-learn NLP Machine Learning

Real-Time Flight Fare Prediction Application

Machine learning-powered web app for flight fare prediction.

  • Predicts flight fares based on real-time and historical data
  • Achieved high prediction accuracy with R² score of 96.95%
  • Utilized Extra Trees Regressor model
Python Scikit-learn Flask Machine Learning

Let's Connect

Whether it's a collab idea, tech banter, or just a random brainwave — drop it below. I don't ghost... unless it's in a codebase.