Headline

Co Founder @ Syphon Labs

About

Product Manager with a strong technical foundation in AI, focused on turning advanced AI capabilities into reliable, user-facing products. I work at the intersection of product strategy, model behavior, and real-world constraints. I’ve led the design and delivery of AI systems end to end: from problem discovery and product definition to architecture decisions, evaluation frameworks, and production deployment. I’m deeply hands-on with LLM-powered products, including agent orchestration , Lang Chain and RAG systems, but my focus is always on outcomes: clarity of use cases, measurable impact, and systems that teams can actually maintain. I’ve collaborated closely with engineering, research, and infrastructure teams, using metrics and iteration to inform roadmap decisions. Technically, I work hands-on with modern LLM systems and agentic architectures, including multi-agent workflows, tool-augmented reasoning, and retrieval-augmented generation. I’ve designed and evaluated systems using LangGraph, LangChain, LlamaIndex, and PyTorch, with a strong understanding of transformer-based models, attention mechanisms, and modern deep learning architectures. I’m comfortable diving into model behavior, prompt and agent design, and evaluation pipelines to diagnose failures and guide product decisions. My product approach focuses on clear problem definition, measurable success metrics, rapid feedback loops, and close collaboration with engineering, research, and cross-functional stakeholders. I am particularly interested in AI Product Management roles where I can apply my product judgment and helps teams build reliable, high-impact AI solutions.

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

Work experience

Co-Founder at Syphon Labs, Jun 2025 - Present · 1 yr 4 mos, Remote, Designed and deployed LangGraph-based orchestration layers to manage multi-step AI pipelines, including parsing, generation, evaluation, and controlled iteration. Built LLM-based agents, implementing context persistence, scoring systems, and real-time feedback loops to enable structured, iterative document optimization.

Coordinating Manager - Automation Systems at NYC Health + Hospitals, Sep 2024 - Jan 2026 · 1 yr 5 mos, Manhattan, New York, United States, • Led the design and deployment of intelligent workflow automation systems handling high-volume operational tasks, improving efficiency by ~30% by replacing manual triage with rule-based decision engines and data-driven prioritization logic. • Defined system architecture for internal analytics and automation tools, translating business requirements into structured workflow logic, conditional branching, and exception-handling pipelines. • Built and maintained automation pipelines using SQL and Python, implementing scoring logic, rule engines, and anomaly detection heuristics to identify edge cases and reduce processing errors. • Designed semi-automated decision-support systems that combined structured data inputs with configurable logic layers, enabling progressive automation while maintaining human-in-the-loop validation for compliance-sensitive operations. • Developed data models and transformation layers to standardize disparate datasets, improving signal quality for downstream analytics and decision workflows. • Implemented monitoring frameworks using Tableau and SQL-based performance queries to track throughput, latency, exception rates, and system drift, enabling iterative optimization of automation performance.

AI Product & Strategy Intern at Treevah, Sep 2024 - Dec 2024 · 4 mos, Brooklyn, New York, United States, • Partnered with leadership to evaluate AI-driven product opportunities using financial modeling, user demand analysis, and system-level cost–performance tradeoffs across data and ML workflows. • Built a 5-year financial and scenario model to assess the ROI of AI-powered features, factoring in data pipeline costs, model inference scaling, cloud infrastructure (AWS), and pricing sensitivity. • Analyzed data pipelines and usage patterns using SQL and Python to understand system constraints, data availability, and feasibility of AI feature rollout. • Worked closely with technical teams to evaluate architecture choices for data-intensive features, including tradeoffs between batch vs near-real-time processing and their impact on product latency and cost. • Helped define success metrics, guardrails, and evaluation criteria for AI-assisted product initiatives, ensuring alignment between model behavior, business objectives, and user trust.

Data Product Consultant at Experis, Sep 2024 - Dec 2024 · 4 mos, • Designed and delivered a real-time data product to support academic decision-making, translating stakeholder needs into scalable analytics and data system requirements. • Built and optimized end-to-end data pipelines using Python and SQL, including data ingestion, transformation, validation, and automated refresh workflows powering live dashboards. • Modeled data schemas and semantic layers to support reliable metrics, interpretability, and consistent downstream consumption by analytics and AI-assisted workflows. • Implemented automated data quality checks, anomaly detection logic, and monitoring to ensure system reliability and early detection of pipeline failures. • Worked with stakeholders to define feature requirements, success metrics, and guardrails for data-driven and AI-assisted decision-support tools.

Consultant Data Engineer at Experis, Jun 2024 - Aug 2024 · 3 mos, • Client: NYU Office of the Provost • Spearheaded database cleanup and optimized data storage efficiency, establishing rules for future data insertion to ensure consistent and accurate data management. • Conducted extensive data parsing and developed interactive dashboards using Google Sheets, and Google Looker Studio which enhanced data accessibility by 25%. • Authored detailed reports and executive summaries, effectively communicating complex analytical findings through data visualization tools.

Research Analyst at NYU Office of the Provost, Sep 2023 - May 2024 · 9 mos, • Converted more than 100 files of numerical CSV data into compelling KPI dashboards using Looker Studio and Google Sheets. • Analyzed multiple documents by writing Python scripts to parse relevant data and visualise the results with Tableau and Spreadsheets. • Collaborated with cross-functional teams and stakeholders to achieve the minimum viable product, ensuring alignment with project goals and objectives.

Summer Research Analyst at NYU Office of the Provost, Jun 2023 - Aug 2023 · 3 mos, • Assisted the Vice Provost as a Research Analyst focusing on quantitative data analysis. • Designed and implemented interactive dashboards on Google Sheets, Tableau, and Google Looker Studio, incorporating dynamic graphs and tables to visually represent project data. • Automated data workflows using Google TypeScript, improving data accessibility.

Programming Analyst at Cognizant, Aug 2020 - Jul 2022 · 1 y 11 mo, Bangalore

Education

Master of Science - MS, Computer Engineering, New York University

Bachelor's degree, Electronics and Instrumentation, Ramaiah Institute Of Technology