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paarth bahetyPB
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paarth bahety

@paarthbahety

Product Lead and AI builder translating data into measurable business outcomes for clients.

India
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What I'm looking for

I want to build and ship data-driven products where I can translate messy requirements into measurable outcomes—combining analytics, AI, and stakeholder communication—with a team that values fast execution and research-backed decisions.

I’m a Product Lead and co-founder focused on turning ambiguous, real-world problems into structured workflows and shipping systems that create measurable impact. While studying Computer Engineering, I’ve combined product building with research rigor, so my decisions stay grounded in data and delivery timelines.

As Co-Founder and Product Lead at Webier, I independently built IQCMS (Inventory Quality Control and Management System) from discovery through launch—translating unclear requirements into workflow logic, shipping an MVP for 100+ engineers, and cutting operational losses by 40% while doubling client revenue. I also built and shipped a multilingual AI agent on WhatsApp for 5+ SMBs, reducing customer wait times by 92% and expanding accessibility to 80% of the target market.

My work extends beyond product execution into careful research and analysis. I ran root-cause analysis and stakeholder interviews across 3+ client engagements to convert ambiguous business questions into scoped, data-backed workflows. I also produced a data-backed insights report from 20+ field interviews on digital payment adoption, surfacing a 100% adoption-vs-engagement gap and delivering go-to-market recommendations to fintech product and policy stakeholders.

On the technical and research side, I’ve built and evaluated models for real-world constraints. I developed a 6G-UAV-V2X simulation with NS-3 and NYU mmWave, implemented five attack modules to generate a labeled dataset, and trained a lightweight autoencoder IDS deployed via ONNX—achieving 91.5% recall with real-time inference under 3ms and earning a poster acceptance at IEEE COMSNETS 2026. I also lead impactful teams (Executive Head of Oculus TechRace, directing a 35-member team for a 500+ attendee event) and enjoy shipping user-facing analytics like Tableau KPI dashboards and Streamlit risk tools.

Experience

Work history, roles, and key accomplishments

WE
Current

Co-Founder and Product Lead

Webier

May 2025 - Present (1 year 2 months)

Co-founded and independently built IQCMS from discovery through launch, translating ambiguous requirements into workflow logic and shipping an MVP for 100+ engineers. Built and deployed a multilingual AI agent on WhatsApp, reducing customer wait times and improving service accessibility for SMBs.

Indian Institute of Management Calcutta logoIC

Research Analyst Intern

Indian Institute of Management Calcutta

May 2025 - Jul 2025 (2 months)

Designed and executed a primary research study on digital payment adoption using 20+ field interviews with micro-entrepreneurs. Synthesized findings into a data-backed insights report and delivered go-to-market recommendations to fintech product and policy stakeholders.

SL

Business Analyst Intern

Sanathan Textiles Ltd.

Jun 2024 - Jul 2024 (1 month)

Automated multi-source sales and marketing data consolidation using Python and reduced the weekly reporting cycle by 70%. Built a Tableau KPI dashboard to support weekly stakeholder reviews.

ES

Project Head

Enactus SPIT

Served as Project Head for Enactus SPIT.

Education

Degrees, certifications, and relevant coursework

Sardar Patel Institute of Technology (SPIT) logoSS

Sardar Patel Institute of Technology (SPIT)

Bachelor of Technology (B.Tech), Computer Engineering

2022 - 2026

Grade: GPA: 8.54/10.0

Activities and societies: Executive Head, Oculus TechRace; led a 35-member team for a 500+ attendee event. Project Head, Enactus SPIT; Co-founder and Product Lead of Webier; co-founded IQCMS from discovery to MVP launch.

Pursuing a B.Tech in Computer Engineering at SPIT, Mumbai (Nov 2022–May 2026), with a GPA of 8.54/10.0. Coursework includes Statistics & Probability, AI/ML, Database Systems, Big Data Analytics, and Software Engineering.

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