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Siva Sravana Kumar Neeli
Profile

I’m a Machine Learning Engineer specialized in Keras and JAX deep learning frameworks transforming the latest research into production-ready solutions. My OSS contributions stand out by empowering a global developer community and driving next-generation AI innovation. My contributions : https://github.com/sineeli

Skills
Programming & Data Manipulation: — Python, C++, Java, JavaScript, HTML, ML Frameworks — Keras, Tensorflow, JAX, Torch, HuggingFace, LLM's, Tools & IDE — VSCode, Github, MLflow, Gitlab, Git, JIRA, API Frameworks — FastAPI, Django, Cloud — GCP, AWS (familiarity), Vertex AI, Cloud Run, Kubernetes (basic), Databases — PostgreSQL, SQLite, PGVector, SQL (BigQuery)
Professional Experience
Machine Learning Engineer, Tech Mahindra Americas, Google(Contractor)
August 2024 – present | San Jose, CA
  • •Implemented Faster R-CNN, RetinaNet and Vision Transformer(ViT) in KerasHub using Keras3, enabling seamless backend switching between JAX, Torch and Tensorflow.
  • •Developed a Colab notebook leveraging Gemini API(LLM) to automate generation of MCQ and short-answer-questions from pregnancy care guidelines, showcasing AI-driven survey automation for improved data collection and analysis.
  • •Constantly analyze user feedback on AI Studio and the Gemini(LLM) API SDK, identifying gaps and opportunities to enhance the product. I relay insights to the product team and contribute ideas to align with customer needs, driving better adoption and user satisfaction.
  • •Contributed 35+ Pull Requests across Keras, TensorFlow and KerasHub enhancing model compatibility and performance.
    • Machine Learning Engineer, Tana Systems Inc, Google(Contractor)
    June 2022 – August 2024 | San Jose, CA
  • •Resolved repetitive GitHub issue troubleshooting for a 40-member team by building an automated recommendation system that identifies similar closed issues, leveraging PGvector VectorDB for scalable updates, and cutting resolution effort by 30%.
  • •Developed a scalable Mask R-CNN & YOLOv8 pipeline on Google Vertex AI with distributed data-parallel training (scales up to 8-GPU's) on a 175GB dataset.
  • •Authored 5 advanced tutorials on TensorFlow Model Garden, streamlining distributed training and data augmentation to accelerate Google’s AI development and fostering OSS.
  • •Led code reviews for 2 team members, ensuring coding standards, and pioneered new ideas/documentation for Google’s OSS (TensorFlow/Keras) to benefit users.
    • Data Scientist Module Lead, GlobalData Plc
    August 2021 – May 2022 | Hyderabad, India
  • •Developed predictive models (AR, MA, ARIMA, SARIMA) to forecast coal & steel production for the next 5 years with 70% accuracy.
  • •Enhanced client reports with data-driven forecasts, providing deeper market insights and improving user satisfaction.
  • •Developed a Django-based active learning POC for labeling massive raw dataset, leveraging iterative SME feedback to continually refine base model accuracy.
    • Machine Learning Engineer, Brane Enterprises Pvt Ltd
    July 2020 – August 2021 | Hyderabad, India
  • •Led a large-scale migration from Django to FastAPI with OOP for more code reusability, which led to 20% less lines of code.
  • •Developed a high-volume semantic search pipeline for BERT/RoBERTa models with FAISS indexing, enabling near-instant retrieval.
  • •Migrated the entire codebase to GitLab, creating automated CI/CD pipelines (Docker builds, testing) with YAML config.
  • •Led a four-member team, mentoring on coding best practices and version control to enhance productivity and project delivery.
    • Image Processing Engineer, Statvalu Pvt Ltd
    December 2019 – July 2020 | Bengaluru, India
  • •Engineered a CNN model for identifying question-answer areas within scanned form insurance images and classify them into Yes/No.
  • •Created a module using OpenCV for precisely locating small checkboxes and radio buttons in low-resolution scanned forms, achieving an impressive F1 score of 0.96.
  • •Enhanced the accuracy of OCR output from damaged documents by employing a range of advanced image processing techniques.
    • Assistant System Engineer, Tata Consultancy Services(TCS)
    July 2016 – October 2017 | Mumbai, India
  • •Enhanced and maintained banking systems by adding new features and fixing issues in the COBOL codebase.
    • Education
    M.Tech(Data Science), Dhirubhai Ambani Institute of Information and Communication Technology(DA-IICT)
    2018 – 2020 | Gandhinagar, India
    B.Tech(Electrical and Electronics Engineering), V.R.Siddhartha Engineering College
    2012 – 2016 | Vijayawada, India