Ajinkya Jawale

As a Founding AI Engineer at Synaps AI, I built an AI platform for LLM training infrastructure and developed a microservice backend for LLM model serving. I conducted research on Llama 3.1 and implemented embeddings for recommendations, while managing the hiring process for the team.

In my role as an AI Engineer, I designed AI workflows for a fintech startup, built deployment pipelines, and improved model inference times. I also managed a team and established a hiring pipeline for AI talent.

As Lead Platform Engineer at Jupiter, I led initiatives to optimize data integration pipelines and developed a complete MLOps platform for LLM models. I also built real-time data surveillance platforms for actionable insights.

At Fairmatic, I co-led a tech team to build a scalable Auto Insurance Risk Management ML platform. I developed a real-time pricing service and automated onboarding for over 250 insurance clients.

As a Freelance ML Engineer, I built a real-time streaming engine for an e-commerce data platform and modernized legacy pipelines into an ELT stack, bridging technical and non-technical stakeholders.

As a Software Engineer at Zoomcar, I built platforms for real-time analytics and developed microservices for data processing. I improved legacy pipelines to real-time streaming, enhancing system efficiency.

At Wizely, I designed and deployed SMS parsing ML models and built data pipelines for financial products. My work led to significant improvements in notification efficiency and customer retention.

During my internship at Jeevn.ai, I developed a full-stack web application using Flask and React for medical diagnosis, implementing deep learning classifiers for disease detection.

Grade: 8.11

Completed a Bachelor of Computer Science & Engineering with a GPA of 8.11, focusing on various aspects of computer science including programming, algorithms, and software development.