I'm Aditya Mhaske. 5 IEEE publications, 2 patents, and currently engineering multi-tenant RAG infrastructure at enterprise scale.
Production AI systems with measurable impact.
Privacy-first industrial AI assistant analyzing PLC fault logs with hybrid RAG retrieval, local LLM reasoning (Ollama + Mistral 7B), deterministic statistics, and strict hallucination guarding. Runs 100% locally with multi-tenant vector search via Qdrant.
Real-time system recognizing depression by extracting features from facial expressions, EEG signals, and speech modules using multimodal deep learning. Supported by peer-reviewed research publications.
YOLOv3 trained on the COCO dataset for real-time object detection and localization on road scenes. Related to autonomous vehicle patents and deployed in a braking system prototype.
Modern infrastructure for advanced AI development.
Deeply technical, focused on scalability and real-world impact.
Recommendations from faculty and research mentors.
Aditya Mhaske is a very bright, extremely skilled, and hardworking MS in Data Science. Aditya's analytic, coding, programming, and presentation skills place him in the top 1% of data science students I have interacted with at Indiana University over the past 12 years. Without hesitation, I recommend Aditya to any employer seeking to hire him.
Prof. Lopo Rego
Chairperson, Marketing Dept · Kelley School of Business, IU
Aditya is incredibly hard-working, enthusiastic, and proactive. He has significantly helped me forward my research on television advertising, social media, and political marketing. I would be more than happy to elaborate on my recommendation for Aditya.
Prof. Beth L. Fossen
Assistant Professor of Marketing · Kelley School of Business, IU
Aditya proved to be a hard-working and ambitious individual always eager to learn. He developed projects in deep learning and signal processing that showcased his technical expertise. His in-depth analysis and forward-thinking mindset helped propose improvements for potential problems.
Prof. Shamla Mantri
Associate Professor · MIT World Peace University
Open to engineering roles and research collaborations in ML, LLM systems, and enterprise AI.