Ashmit Mishra

I’m an IIT Delhi Computer Science graduate (2024) with 2 years of progressive industry experience in software engineering and data science. I enjoy turning complex problems into scalable systems and models that move real business metrics.

At Infosys, I architected and deployed a microservices-based data pipeline processing 2M+ daily events, cutting end-to-end latency by 40% using database query optimization and Redis caching. I also designed Bayesian inference models for customer lifetime value prediction, improving forecast accuracy by 23% and shaping ₹4.2 Cr annual budget decisions.

I lead production-minded engineering: I migrated a monolithic Java application to Kubernetes-orchestrated containers, achieving 99.97% uptime and a 25% infrastructure cost reduction on AWS. I built an A/B testing framework using causal inference (DiD, propensity scoring), enabling data-driven product decisions impacting 500K+ users.

Outside core work, I build end-to-end prototypes—like adversarial ML defense for IoT, a causal inference platform with DiD/synthetic control, a CRDT-based real-time code collaboration tool, and optimization systems using Monte Carlo simulation and mixed-integer programming. I bring research rigor from internships at Microsoft Research India and Samsung R&D, including transformer-based translation and on-device ML optimization.