I turn messy business problems into AI-driven automation and sharp strategy. 6+ years across consulting, automotive, venture capital and ed-tech, from M&A analytics and agentic workflows to market intelligence and growth.
Four systems I designed and shipped at EY-Parthenon, framed the way I'd present them to a client: problem, approach, impact. Client specifics anonymised.
Separate workflows handle target screening, peer identification and metric collection. Each agent decomposes the research question, runs searches in parallel, validates findings against multiple sources and writes results into a consistent template, so two teams researching the same market no longer produce two different answers.
The agent generates SharePoint upload links, monitors the repository for new files, batch-processes question sets against the source documents and produces per-batch summaries. Progress is visible in real time through the OneDrive-synced Excel file, so users watch answers appear as the agent works.
The MVP runs on Copilot Studio with SharePoint storage and automated notifications. I'm now redesigning it as a VS Code extension built on GitHub Copilot Chat with Claude as the LLM and the Microsoft Graph API for semantic search over per-team repositories, removing the MVP's file-size, OCR and access-control limits.
Deterministic rules catch the common normalisation cases cheaply, an ML matcher resolves near-duplicates, and web search handles the long tail of ambiguous entities, so each stage only escalates what it can't resolve, keeping the pipeline fast and auditable. The same architecture supports follow-on benchmarking and peer-research workflows.
I'm a consultant who builds. My work sits at the intersection of corporate strategy, M&A analytics and applied AI. I frame the business problem, then ship the agent, pipeline or tool that solves it.
That blend is the point: the consulting instinct to frame a problem crisply, plus the engineering to actually build the fix rather than hand off a slide. It's what I bring to a strategy or M&A team.
I've closely observed Karthik's journey from a fresh graduate to a skilled engineer with startup potential. At Micelio he was comfortable with ambiguity and had the right balance of creativity and pragmatism. His confidence in meeting EV-industry executives and presenting concise reports to leadership impressed me.
Karthik has shown a great deal of talent and business acumen across the various projects he worked on with us. I'm sure he is poised to achieve greater heights with his management education now.
Karthik proved his dedication and team spirit. He was able to demonstrate his ability to work on both conceptual and data-driven projects, and was able to transfer his theoretical knowledge on strategy building into practice. Thank you for your support in our team!
Open to AI & strategy roles and collaborations. I usually reply within a day.
This assistant runs on an n8n workflow I built.