Shubham Tiwari

I’m an AI & ML engineer focused on turning LLM capabilities into real, usable product workflows—especially AI-first automation for business teams. I combine a strong DSA foundation with practical engineering, working across Python, data pipelines, and LLM API integrations.

In my Data Analyst internship with Deloitte (Forage Virtual Program), I performed data cleaning, transformation, and EDA using Python (Pandas, NumPy) and SQL across 3+ case studies. I also built Power BI and Excel dashboards to simulate real-world insight delivery, and I documented data mapping and predictive analysis workflows aligned with consulting methodology.

For applied AI work, I shipped an AI-powered B2B automation product that integrates LLM APIs and prompt engineering for automated lead scoring and WhatsApp client engagement. By integrating CRM APIs to sync lead data and automate sales funnel tracking, I reduced manual outreach effort by ~60%, turning research into measurable impact.

Beyond product delivery, I maintain momentum with an active DSA problem-solving repository (150+ problems) across arrays, trees, graphs, DP, and recursion, complete with Big-O analysis. I’m now looking to join AI-first product teams where I can design reliable LLM/RAG systems, build automation that teams trust, and keep iterating with strong data fundamentals.