Recent USC grad diving deep into machine learning, big data, and cloud systems. Passionate about crafting efficient data pipelines, deploying ML models, and developing full-stack applications that solve real-world problems.

• 🎓 Education: Master's in CS from University of Southern California (focus: ML, Big Data, Databases, Cloud); Bachelor's in CS from Sathyabama University with published research on LiDAR for autonomous vehicles.
• 🌱 Current Focus: NLP, computer vision, real-time streaming, MLOps, and distributed systems.
• 👨‍💻 Portfolio: manojtummala.github.io
• 💬 Topics I Love: Python ecosystems, JS frameworks, data orchestration, model optimization, cloud architectures.
• 📫 Contact: manojtum@usc.edu

Programming

ML/AI & Libraries

Data Engineering

Cloud & DevOps

Frameworks & DBs

• ReviewsVerse | Machine Learning & Data Engineer: Engineered real-time NLP pipelines using Kafka and AWS S3 for spam detection and text classification; optimized ETL with 30% latency reduction and Great Expectations for data quality.
• SchoolTalkz | Data Engineer - ML Analytics: Built predictive models for engagement trends; automated Airflow pipelines for dataset prep and enhanced PostgreSQL performance by 40%.
• Zee Media | Data Systems & Personalization Engineer: Designed Elasticsearch/MongoDB indexing for recommendations; created AWS S3/Delta Lake data lakes and prototyped NLP tagging for accuracy.

• LiDAR Sensor for Self-Driving Cars: Python/OpenCV-based real-time mapping and object detection (40% simulation accuracy; ICCES 2023 publication).
• Semantic Search Engine: Sentence-BERT embeddings with FAISS for semantic retrieval and API deployment.
• Facial Recognition Attendance System: OpenCV/AWS Lambda automation reducing errors by 40%.
• Clipy: Firebase-powered cross-device clipboard sync for secure transfers.
• Stock Search: Blockchain-enabled app with real-time market updates and user-friendly interface.
• Explore pinned repos: SPACE-ARENA, Tinder-Swipe-Bot, 3D-Terrain, Rubicks_Cube, Terminal-Setup, Clipy.