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Priyank Vaidya

@priyankvaidya

AI Native Product Manager

India
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What I'm looking for

Associate Product Manager, AI Native Product Manager

I’m a AI Native product manager, having worked on building robust native AI Prototypes for internal tools at the company to optimise the operations and achieve a greater impact. I’m tech efficient product manager who have in-depth knowledge of building systems, creating a structred workflow and soving problems that are worth solving. I’m highly capable of solving complex user workflows and handle cross functional communication across teams.

Experience

Work history, roles, and key accomplishments

Clinikally YC S22 logoCS
Current

Product Intern

Clinikally YC S22

May 2026 - Present (3 months)

0-to-1 AI CRM: Launched for multi-chain clinics via user validation.
Onboarding: Accelerated time-to-value via data migration & guides.
Roadmap: Tracked adoption telemetry to close product gaps.
Workflow Optimization: Resolved cross-functional bottlenecks to elevate CX.

AI
Current

Software Engineer Intern

AppItSimple Infotech

Jan 2025 - Present (1 year 7 months)

Engineered VoIP features using Redis to boost backend performance by 60% and integrated AI voice agents with SIP trunking and RAG-based multilingual models; implemented CRM-based routing and predictive dialer recycling to reduce call fraud by 50%.

WI

Software Engineer Intern

Wow-AI, Inc

Mar 2024 - Jun 2024 (3 months)

Implemented ETL data pipelines with Hadoop and Spark to improve medical data labeling efficiency, automated ingestion with Apache Airflow reducing deployment time by 30%, and integrated Snowflake and AWS SageMaker to optimize warehousing and model distribution.

Education

Degrees, certifications, and relevant coursework

Pandit Deendayal Energy University logoPU

Pandit Deendayal Energy University

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Grade: 9.05 GPA

Pursuing Bachelor of Technology in Computer Science and Engineering with coursework in Design Patterns, DBMS, Operating Systems, Discrete Mathematics, Statistics, Data Visualization, and Big Data Analytics; achieved GPA 9.05.

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