Experience
From DICOM files to agent fleets.
Mar 2026 — Present
On-site, Bengaluru, Karnataka
Sr. AI Researcher
Simplilearn
Rishabh's current role. He leads hands-on research into new AI technology and turns it into automation for the business.
- Automating complex, multi-step business workflows with AI agents.
- Agentic orchestration: designing how multiple agents, tools and human reviewers work together.
- Open-source work.
- Hands-on research on new technology as it emerges, turned into working prototypes.
Mar 2025 — Mar 2026
On-site, Bengaluru, Karnataka
AI Researcher
Simplilearn
- Tracked and dissected emerging AI breakthroughs (MCP, agentic AI, LLMs, Gemini) and turned them into hands-on prototypes.
- Built, validated and documented research demos; curated a code-backed learning hub.
- Designed bite-sized, code-driven learning modules and influenced the roadmap for next-generation AI features.
- Built scalable GenAI applications around the research.
- Projects in this role include the Collaterals Agent (Best Team Award), TurboTrade (Zerodha MCP copilot), a scalable sales-training chatbot, and Gemma 3n on-device research.
Feb 2024 — Mar 2025
Remote, California
AI Engineer
OsteosConnect Inc
- Led a team of clinicians and engineers to deliver a 96%-accurate osteoarthritis classification pipeline: X-ray → S3 → Lambda → EC2 → prediction → Lambda → EMR.
- Surpassed competitor RBKnee and achieved more than 90% concordance with radiologists in SRM Trichy trials.
- Implemented a continuous feedback loop that retrains the model on doctor-validated ground truth.
Jul 2023 — Jan 2024
Remote, California
AI/ML Intern
OsteosConnect Inc
- Hypothesized and prototyped ML approaches for automated osteoarthritis grading.
- Ran exploratory data analysis on DICOM imagery and set up baseline classifiers (logistic regression, random forest).
Nov 2020 — Jan 2021
Bangalore
Data Science & ML Intern
Smartknower Pvt Ltd
- Built a full ETL pipeline, feature engineering and predictive models.
- Developed Power BI dashboards for sales forecasting and presented actionable insights.
Skills & tools
Key skills
Forward Deployed Engineering, system design, open source, Azure AI Foundry, AWS Bedrock, agent and LLM evaluation, agent and LLM guardrailing and deployment, token optimization, agentic AI and harness engineering, loop engineering, automation engineering, chatbot design, AI and agentic AI orchestration, LLM architecture and fine-tuning, RAG in production, Model Context Protocol (MCP), healthcare automation, research publication, Claude Code, Claude Science and Claude Skills, speech generation, classification, GenAI applications.
AI and ML
Generative AI, agentic AI and agentic RAG, multi-agent systems, retrieval-augmented generation (RAG and Graph RAG), MCP, chatbots, vector databases (Redis, FAISS and others), machine learning, deep learning, computer vision, CNNs, NLP, transformers, segmentation models, X-ray annotation.
Languages and frameworks
Python, scikit-learn, TensorFlow, PyTorch, PyTorch Lightning, LangChain, LangGraph, Google ADK, Google Gemini APIs, OpenAI SDK, CrewAI, Pandas, NumPy, asyncio, FastAPI, Flask, FastMCP, gRPC, Pydantic, PyDICOM.
LLM fine-tuning and small models
Unsloth, LoRA and QLoRA (PEFT), supervised fine-tuning (SFT), Hugging Face Transformers and TRL, 4-bit and 8-bit quantized fine-tuning, fine-tuning small models such as Gemma, Llama and Phi.
LLM inference and serving
vLLM, Ollama, llama.cpp, model quantization (GGUF, AWQ), KV-cache optimization, batching and streaming inference, OpenAI-compatible API serving.
Cloud and DevOps
AWS (S3, Lambda, SageMaker, EC2, Bedrock), Docker, Azure AI.
Data and analytics
Data science, predictive modeling, EDA, ETL, DICOM processing, Power BI.
Computer science foundations
Algorithms, data structures, OOP, DBMS, computer networks, system design for AI.
Soft skills
Team management and leadership, teamwork, problem solving, communication, curiosity.
Education & recognition
Education
- B.E., Electronics & Communication — B.M.S. College of Engineering, Bangalore (Aug 2019 – Aug 2023). GPA 7.65/10.
- Intermediate (PCM) — Shiv Jyoti Convent School, Kota (2017–2018). 80%.
- Matriculation — Sri Chaitanya Techno School, Vizag (2015–2016). CGPA 10.
Certifications and training
- LLM Fine-tuning — DeepLearning.AI
- Fundamentals of Generative AI — Databricks (2024)
- NVIDIA Deep Learning Institute: Vision & Multi-Modal (2020)
- Python 3 Programming Specialization — University of Michigan (Coursera)
- Practical Deep Learning — Intel (Coursera)
- Data Science for All — E&ICT, NIT Warangal
- AI & Deep Learning — E&ICT, IIITDM
- ML Foundations: A Case Study Approach — University of Washington (Coursera)
- Machine Learning for All — University of London (Coursera)
Achievements
- Started with zero quantum-computing knowledge and built QFPViT, a quantum self-attention operator for Vision Transformers; paper communicated to Quantum Journal.
- Best Team Award at Simplilearn (Q3) for automating collateral creation for new program launches, cutting turnaround from 7–10 days to 1 day.
- Published the novel LCSNet architecture in Intelligence-Based Medicine (Elsevier, Impact Factor 2.3).
- Built a scalable sales-training system at Simplilearn.
- Led MVP development with doctors and researchers at OsteosConnect; his osteoarthritis classification and reporting solution outperformed competitor RBKnee.
- 6th prize, final-year major project showcase at BMSCE.
- Published in Springer and Inderscience venues.
- 2nd prize, Coca-Cola Cup district-level football.
- Poetry published in the Hindi daily Amar Ujala.