Aman Kshirsagar

I’m a B.Tech student in Artificial Intelligence and Data Science, focused on turning messy data into reliable, decision-ready insights. I combine statistical thinking with hands-on engineering to deliver measurable performance, not just demos.

In my Data Analyst Intern role, I analyzed 10,000+ global AI job-market records using Excel (Pivot Tables, Slicers) to uncover salary and skill-demand trends across 15+ countries. I identified high-value hiring markets (e.g., San Francisco: $5.51M salary volume) and top growth skills (ML: $2.17M), and my findings were used in a client talent-benchmarking deck.

I also build production-minded AI projects. In TokenShield, I engineered a real-time HTTP scoring engine using 7 behavioural signals to achieve <5 ms latency at 68 req/sec peak load (0 false positives across 50,000+ simulated requests), plus an automated mitigation pipeline and SDN attack simulation with OWASP ZAP and JMeter.

My work on NexusAI shows my end-to-end approach to AI systems: I built a RAG Research Engine with hybrid BM25 + FAISS retrieval over 50+ PDF pages, delivering P95 end-to-end query latency under 2 seconds. I’ve complemented this with NLP-driven market experimentation—winning HackNexus 2.0’s FinTech Domain by building a sentiment + technical-indicator trading bot—and I’m excited to keep scaling these capabilities.