Available to hire
Hi, I’m Tanmay Bharadwaj, a Product & Systems Analyst focused on decision-heavy product workflows and architecture. I enjoy diagnosing structural issues in complex systems, decomposing problems into layered decision layers, and balancing automation with human judgment to deliver scalable, trusted outcomes in delivery platforms.
I thrive in spaces where clarity of decision making is critical, and I aim to fix architectural and system-level bugs by rethinking decision flows, documenting the rationale, and embedding human-in-the-loop safeguards.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Work Experience
Decision Reliability Design – Offline Resilient AI Systems at Independent Project
January 1, 2025 - PresentIdentified a systemic failure in AI products where connectivity loss causes abrupt breakdowns or unsafe overconfidence, leading to broken trust and unreliable decision-making. Developed a connectivity-aware, layered decision architecture that governs AI behaviour based on capability boundaries, risk level, and uncertainty instead of assuming constant cloud access. Built a system that degrades gracefully offline, preserving user intent, calibrating confidence, and safely deferring high-risk actions while continuing low-risk analysis locally. Prototyped end-to-end continuity and recovery flows that reconcile offline assumptions and restore full capability once connectivity is re-established.
Post Rejection Learning System Design – Hiring Platforms at Independent Project
January 1, 2025 - PresentIdentified a systemic gap in hiring platforms where candidate rejection is treated as a terminal state, leading to repeated low-quality applications, recruiter overload, and declining decision quality at scale. Implemented a layered post-rejection decision architecture that infers safe rejection categories, counterfactual guidance, resume signal weaknesses, and interview-stage gaps without exposing recruiter intent. Built a candidate learning memory system to track historical rejection patterns and signal gaps over time, enabling learning to compound instead of resetting with each application. Prototyped an end-to-end flow that synthesizes structured signals into a post-rejection learning report, balancing candidate guidance, legal safety, operational scalability, and human-in-the-loop controls.
End to End Decision System Design – Consumer Delivery Platforms at Independent Project
January 1, 2025 - PresentDiagnosed structural decision bottlenecks in post-order product workflows where ambiguity, delayed verification, and manual review created high operational cost and customer friction. Designed a layered decision architecture that separates independent signals (input integrity, context, behavior) and avoids brittle, single-signal decisioning. Built a fusion-based decision flow with human-in-the-loop controls, decoupling immediate customer resolution from deferred verification to protect both CX and system integrity. Prototyped the end-to-end system to stress-test failure modes, ownership boundaries, and scalability before any production assumptions.
Education
BBA – Analytics and Big Data at UPES (University of Petroleum and Energy Studies), School of Business, Dehradun
January 1, 2022 - January 1, 2025Qualifications
McKinsey Career Forward Program
January 1, 2025 - January 30, 2026AI Mastermind Workshop
January 1, 2025 - January 30, 2026End to End Data Analytics Course
January 1, 2026 - January 30, 2026Industry Experience
Software & Internet, Professional Services, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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