Madhava (Reddy) P.
AI Specialist
Experience
Oct 2024 - May 2025
8 monthsGermany
AI Specialist
Diplotech Solutions
- Fine-tuned a quantized LLaMA model with LoRA, optimizing hyperparameters for domain-specific, large-scale NLP applications
- Led development of LLM-based hybrid retrieval-augmented generation architectures using the LangChain framework for the legal domain, integrating document extraction, vector search, speech-to-text processing, and prompt engineering methods with OpenAI APIs
- Built an LLM-powered translation service combining OpenAI Whisper for transcription with domain-specific translation and prompting to handle sensitive diplomacy terminology
- Developed and integrated REST APIs with FastAPI and Pydantic for AI models, collaborating with front-end teams to deploy production-ready applications in secure cloud environments
- Automated LLM workflows with CI/CD pipelines, containerized models using Docker, and deployed to AWS for scalable cloud infrastructure
Apr 2024 - Sep 2024
6 monthsGermany
Machine Learning Intern
Volmo Medical
- Developed deep learning models for 3D medical image segmentation and classification (NIfTI) using Python and PyTorch for disease-specific pattern detection
- Enhanced dataset quality through cleaning, augmentation, and validation strategies, reducing GPU consumption significantly via iterative exploratory data analysis and refinement while tracking experiments with Weights & Biases
- Applied explainable AI techniques (SHAP, Grad-CAM) to enhance model interpretability and transparency, achieving good feature relevance alignment in CT/MRI workflows for healthcare applications
Sep 2020 - Feb 2022
1 year 6 monthsIndia
Machine Learning Software Engineer
Maxis Software
- Designed and deployed scalable machine learning pipelines using GCP (BigQuery, Vertex AI, Cloud Storage), automating workflows with CI/CD and Docker to reduce deployment time and improve scalability
- Processed large-scale datasets with natural language processing techniques (tokenization, embeddings, named entity recognition) to deliver efficient entity recognition
- Optimized data querying and analytics using Python and SQL, generating visual reports to enhance decision-making
- Applied feature engineering and model optimization techniques to improve model accuracy and efficiency, leveraging MLflow for model tracking and versioning
- Implemented MLOps practices (monitoring, orchestration, versioning) to automate model lifecycle management and support containerized deployments in Agile/Scrum workflows, improving reliability and reducing deployment errors
Jan 2020 - Apr 2020
4 monthsRussian Federation
Computer Vision Intern
Innopolis University
- Developed object detection systems for autonomous vehicles using YOLO, applying advanced data preprocessing and augmentation to enhance precision and robustness
- Contributed to semantic and instance segmentation models to enhance perception and scene understanding
- Collaborated with cross-functional teams to integrate AI solutions into Industry 4.0 systems, enabling intelligent automation and real-time decision-making
Summary
AI/ML Specialist with 2+ years of experience delivering end-to-end ML solutions from model development to production deployment.
Skilled in deep learning, NLP, generative AI, RAG systems, and LLM fine-tuning, with strong MLOps and cloud expertise (AWS, GCP) for scalable, production-ready AI systems.
Languages
English
AdvancedGerman
ElementaryEducation
Apr 2022 - Jul 2024
Saarland University of Applied Sciences
Master of Science · Neural Engineering · Germany
Jul 2016 - Sep 2020
MITS College
Bachelor of Engineering · Mechanical Engineering · India
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