Siddharth Sharma
AI / ML Engineer | LLM & Agentic SystemsAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Staff AI / ML Engineer | LLM & Agentic Systems with 10+ years in LLM, Agentic Systems & Applied NLP
Machine Learning leader with 12+ years of experience building production AI/ML systems, the last 5 driving LLM and agentic systems in healthcare. As Suki's ML technical leader for strategy and initiatives, grew the flagship Ambient documentation product from a late-2022 POC to the company's primary offering, supporting growth from ~$1M to ~$35M ARR across 400+ healthcare organizations. Architected Suki's agentic-AI strategy and built its first Patient Chart Q&A agent. Holds 4 granted US patents (1 as sole inventor).
Delhi Technological University (Formerly Delhi College Of Engineering), Delhi
B.Tech
June 29, 2010 – June 29, 2014
Cultural Fit Analysis
The candidate's extensive experience in healthcare AI/ML, particularly with LLMs and agentic systems, aligns very well with the target role. Their leadership in driving product development from POC to GA, coupled with a strong patent portfolio, indicates a highly innovative and results-oriented individual. The breadth of skills across LLMs, NLP, systems, and platforms, along with open-source contributions, suggests a continuous learning mindset and a collaborative spirit. The focus on real-world impact (e.g., 6X ROI, 41% faster documentation) demonstrates a business-oriented approach to technical solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership in ML strategy and initiatives, evidenced by taking products from POC to primary offerings and aligning executive leadership. Their work on autonomous workflow design and multi-agent orchestration suggests excellent problem-solving and system-thinking abilities. The patent portfolio and open-source contributions indicate innovation and a proactive approach to technical challenges. The focus on healthcare applications implies an ability to work in regulated and high-impact environments, requiring attention to detail and reliability.