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Mihir Sahu
Intern software engineer specializing in AI, full-stack, and applied ML
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About
Backend/ML-focused engineer with experience spanning fintech, sales enablement, and medtech, including a Capital One capstone and a Singapore medtech startup internship. Stands out for owning end-to-end AI/backend systems, from a GenAI sales pitch platform that cut prep time by 50% to an ultrasound-guidance MVP for non-expert operators in a highly ambiguous domain.
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Key Strengths
- owned backend systems end-to-end from design to deployment
- built a GenAI sales pitch platform that reduced manual pitch prep time by 50%
- strong AWS architecture experience across EC2, S3, Lambda, and Route 53
- makes pragmatic reliability/latency tradeoffs in high-scale backend systems
- designed async fraud decisioning pipeline with scalable failover architecture
- improved fraud workflow efficiency by 30% over manual review
- effective in ambiguous early-stage environments through tight MVP scoping
- adapted quickly to medtech domain despite no prior bio background
- focused product decisions on core user outcome: reducing scan inconsistency
- applies engineering rigor in high-stakes systems through audit logs and targeted testing
- debugged and resolved data normalization mismatch via preprocessing fixes and regression tests
- builds AI systems with guardrails, enforcing business rules in code rather than relying solely on models
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Experience
Education
Awards
Languages
Certifications
Publications
2 publications
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