
Darshan shankar
@darshanshankar
I build LLM-driven automation, RAG pipelines, and AI-enabled cybersecurity compliance systems.
What I'm looking for
At PwC Advisory, I built GenAI-powered cybersecurity compliance automation that reduced manual analysis effort by 40–45%. I designed LLM pipelines with prompt engineering, structured outputs, tool orchestration, and n8n-based security review workflows.
I've also conducted applied AI research at DRDO-CAIR and published IEEE research on remote-sensing object detection and air-quality prediction. I build with Python, RAG, LangChain, LangGraph, ChromaDB, TensorFlow, PyTorch, and PostgreSQL.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Completed hands-on ML training using Python. Built and evaluated a heart disease prediction model covering preprocessing, training, and validation.
GenAI Engineer
Built GenAI-powered automation for cybersecurity compliance workflows, reducing manual analysis effort by 40–45%. Designed and deployed LLM pipelines using prompt engineering, structured outputs, and tool orchestration.
Research Intern
DRDO - CAIR
Conducted applied AI research alongside government scientists. Prepared datasets, ran model experiments, and analyzed results to bridge research and workflows.
Education
Degrees, certifications, and relevant coursework
Global Academy of Technology
Bachelor of Engineering, Artificial Intelligence and Data Science
Grade: 8.6/10
Activities and societies: Served as Secretary of the College Technical Club; organized and hosted technical events.
Pursued a Bachelor of Engineering in Artificial Intelligence and Data Science, graduating in 2025 with a GPA of 8.6/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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