Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi! I'm Madhava Reddy Pesala, an AI/ML specialist with three years of experience building end-to-end machine learning solutions, from model development to deploying scalable systems in the cloud. I love working with deep learning, natural language processing, and large language models, and I'm passionate about creating production-ready AI applications that make an impact. I have a strong background in MLOps and cloud platforms like AWS and GCP, and I thrive collaborating with teams to integrate AI seamlessly into real-world products. When I'm not building advanced RAG architectures or fine-tuning transformer models, I enjoy exploring the latest advances in generative AI and making complex models interpretable and accessible.…Hi! I'm Madhava Reddy Pesala, an AI/ML specialist with three years of experience building end-to-end machine learning solutions, from model development to deploying scalable systems in the cloud. I love working with deep learning, natural language processing, and large language models, and I'm passionate about creating production-ready AI applications that make an impact. I have a strong background in MLOps and cloud platforms like AWS and GCP, and I thrive collaborating with teams to integrate AI seamlessly into real-world products. When I'm not building advanced RAG architectures or fine-tuning transformer models, I enjoy exploring the latest advances in generative AI and making complex models interpretable and accessible.

Madhava Reddy Pesala





Hi! I'm Madhava Reddy Pesala, an AI/ML specialist with three years of experience building end-to-end machine learning solutions, from model development to deploying scalable systems in the cloud. I love working with deep learning, natural language processing, and large language models, and I'm passionate about creating production-ready AI applications that make an impact. I have a strong background in MLOps and cloud platforms like AWS and GCP, and I thrive collaborating with teams to integrate AI seamlessly into real-world products. When I'm not building advanced RAG architectures or fine-tuning transformer models, I enjoy exploring the latest advances in generative AI and making complex models interpretable and accessible.…Hi! I'm Madhava Reddy Pesala, an AI/ML specialist with three years of experience building end-to-end machine learning solutions, from model development to deploying scalable systems in the cloud. I love working with deep learning, natural language processing, and large language models, and I'm passionate about creating production-ready AI applications that make an impact. I have a strong background in MLOps and cloud platforms like AWS and GCP, and I thrive collaborating with teams to integrate AI seamlessly into real-world products. When I'm not building advanced RAG architectures or fine-tuning transformer models, I enjoy exploring the latest advances in generative AI and making complex models interpretable and accessible.

Available to hire

Hi! I’m Madhava Reddy Pesala, an AI/ML specialist with three years of experience building end-to-end machine learning solutions, from model development to deploying scalable systems in the cloud. I love working with deep learning, natural language processing, and large language models, and I’m passionate about creating production-ready AI applications that make an impact.

I have a strong background in MLOps and cloud platforms like AWS and GCP, and I thrive collaborating with teams to integrate AI seamlessly into real-world products. When I’m not building advanced RAG architectures or fine-tuning transformer models, I enjoy exploring the latest advances in generative AI and making complex models interpretable and accessible.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

German

Beginner

English

Advanced

Work Experience

AI Specialist at Diplotech Solutions, Germany

May 31, 2025 - August 1, 2025

Fine-tuned a quantized LLaMA-3.1-8B model with LoRA, optimizing transformer architectures for domain-specific large-scale NLP applications. Led a team to develop LLM-based hybrid RAG architectures using LangChain for legal and diplomacy domains, integrating document extraction, vector search, speech-to-text, and prompt engineering with OpenAI APIs. Built an LLM-powered translation service with OpenAI Whisper for transcription and domain-specific translation. Automated LLM workflows with CI/CD pipelines, containerized models using Docker, and deployed them on AWS for scalable cloud infrastructure. Integrated AI models with FastAPI and Pydantic, collaborating with front-end teams to deliver production-ready applications in secure cloud environments.

Machine Learning Intern at Volmo Medical, Germany

September 30, 2024 - August 1, 2025

Developed deep learning models for 3D medical image segmentation and classification (NIfTI) using Python and PyTorch, achieving a Dice coefficient of 0.92 for disease-specific pattern detection. Enhanced data quality through cleaning, augmentation, and validation strategies, reducing GPU consumption by 30% via iterative exploratory data analysis and experiment tracking with Weights & Biases. Applied explainable AI techniques (SHAP, Grad-CAM) to improve model interpretability and transparency, achieving 92% feature relevance alignment in CT/MRI workflows for healthcare.

Data Scientist/ Machine Learning Engineer at Maxis Software, India

February 28, 2022 - August 1, 2025

Designed and deployed scalable ML pipelines on GCP using BigQuery, Vertex AI, and Cloud Storage, automating workflows with CI/CD and Docker, reducing deployment time by 25% and improving scalability by 30%. Processed large datasets with advanced NLP techniques such as tokenization, embeddings, and named entity recognition, achieving state-of-the-art accuracy. Optimized data querying and analytics using Python, SQL, and NoSQL, generating visual reports to improve decision-making efficiency by 20%. Applied feature engineering and model optimization leveraging MLflow for tracking and versioning. Automated model lifecycle management with MLOps practices and streamlined CI/CD for containerized deployments in an Agile Scrum environment, reducing errors by 15%.

Computer Vision Intern at Innopolis University, Russia

April 30, 2020 - August 1, 2025

Developed object detection systems for autonomous vehicles using YOLO, applying advanced data preprocessing and augmentation techniques to enhance precision and robustness. Contributed to semantic and instance segmentation models improving perception systems for autonomous driving and ensuring accurate scene understanding. Collaborated with multidisciplinary teams to integrate AI-driven solutions into Industry 4.0 systems, advancing intelligent automation and real-time decision-making.