About

Meet Tejas JM

Research-driven builder, learner, and collaborator focused on crafting dependable AI/ML systems that people can use.

I began by experimenting with GANs, reinforcement learning, and computer vision in academic projects — often learning more so from setbacks than from progress. Those early explorations shaped my mindset -

WHERE THE GOING GETS TOUGH, THE TOUGH GET GOING

Over time, I shifted into building systems that balance rigour with usability, including CNN-based forensics models, multimodal assistants and custom scalable RAG pipelines. My focus has consistently been on usability, scalability, and efficiency.

Beyond hands-on engineering, The blog section is where I write my practical insights from work and readings for my own reference. My aim is to navigate the evolving landscape of AI by continuing to refine my own craft as both a researcher and builder.

Experience

  1. Sep. 2025 - Present

    AI Engineer · Mad Scientist

    Building a scalable hybrid RAG engine with parallel ingestion, adaptive semantic chunking, and intelligent query routing. Alongwith a Prodcution Grade API using FastAPI

  2. Apr. 2025 — Sep. 2025

    Software Engineer · Data Marshall

    Built a scalable, intelligent automation systems powered by LLMs and custom NLP pipelines. Delivered measurable improvements in accuracy and processing efficiency. Explored semantic web technologies to prototype a domain-specific ontology.

  3. Sep. 2024 — Nov. 2024

    Intern · AIC T-Hub

    Interacted with startups working in sectors such as healthcare, semi-conductors, mobility, sustainability, and space-tech. Through these interactions, I’ve gained hands-on insights into the productization of innovation and the challenges of scaling real-world technology.

  4. Jan. 2023 — Jul. 2023

    Data Analyst Intern · Panamax Infotech

    Developed robust and scalable blockchain-based data APIs, enhancing data processing and integrity across the organization.

Tech Stack

Languages

  • Python
  • C
  • C++
  • SQL
  • R
  • HTML
  • CSS

Frameworks

  • TensorFlow
  • PyTorch
  • LangChain
  • LangGraph
  • Ollama

Developer Tools

  • GitHub
  • VS Code
  • Jupyter Notebook
  • Docker
  • Kubernetes
  • Terraform
  • Tableau
  • Weights & Biases
  • Llama.cpp
  • n8n

Libraries

  • Pandas
  • NumPy
  • Matplotlib
  • OpenCV
  • Gradio
  • Streamlit
  • Hugging Face Hub
  • scikit-learn
  • NLTK
  • uv
  • ruff