/Portfolio

Portfolio

AI Software Developer Enthusiast

Technical Skills:

  • Languages: Python, HTML,CSS
  • Generative AI : Large Language Models, Langchain, Vector Database, HuggingFace.
  • Finetuned LLM Models: Llama2 7b ,Samantha 7b , Zephyr beta, Mistral7b ,Falcon7b.
  • Computer vision: UNET, Yolo, TF Model Zoo, Transformers & LSTM for Vision, Mediapipe, MTCNN,OCR.
  • Framework & Libraries: PyTorch ,Tensorflow ,Whisper(Speech2Text),Bark (Text2Speech).

Education

  • B.E., Mechanical | SATHYABAMA UNIVERSITY (Apr 2023)

Work Experience

AI Intern @ Startup (Oct 2023 - Present)

  • Associated with building Generative AI, use case specific projects focussing on Healthcare and MedTech.
  • Adopted quantization techniques like LoRA,QLora to finetune 7b instruct based models like Samantha,Zephyr,Carl,Llama on synthetic mental health conversation dataset prepared from GPT4 available on HuggingFace.
  • Leveraged potent of custom LLMs to build a therapeutic mental health assistant chatbot and a medical disease identification assistant system using Mutlimodal LLM like LLaVA, BLIP.
  • Optimizing Medical RAG applications with integration of Langchain and Vector store for precise semantic search in Medical documents with Mistral and Llama.
  • Med-edu Youtube Video Summarise using speech processing libraries Whisper, Bark with llm.

AI Intern @ Plausibility Solutions (Jun 2023 - Aug 2023)

  • Associated with a CNN facial recognition and detection system with inbuilt webcam using MTCNN.
  • Explored Computer Vision Industrial Use cases.

Frontend Intern @ Agneyas Labs (Apr 2023 - May 2023)
• Worked on a B2B project as part of a team to develop a web application for TVS Battery Management Charging System using front-end technologies such as HTML, CSS.