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Ankit S.

Ankit S.

Product Manager — AI Call QC platform (quality scoring and structured insights from sales calls)

India flagDehradun, India

Key Skills

Software

Don't disclose
Other

Top Subject Matter

AI meeting/call analytics and quality evaluation
Full Stack Web apps & Web Designing
AI Automation

Top Data Types

AudioAudio
DocumentDocument

Top Task Types

TranscriptionTranscription
Text SummarizationText Summarization

Freelancer Overview

Product Manager — AI Call QC platform (quality scoring and structured insights from sales calls). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Business Administration, Manipal University Jaipur (2026) and Bachelor of Science, DBS PG College (2021). AI-training focus includes data types such as Audio, Computer Code, and Programming and labeling workflows including Transcription and Text Summarization.

Labeling Experience

Independent Product (Ghost Recorder) — AI meeting notetaker (transcripts/summary/decisions/action items)

OtherText SummarizationText Summarization

Developed an AI Meeting Notetaker Chrome extension that records virtual meetings and generates speaker-attributed transcripts and structured outputs (summary, key decisions, and action items). Used bring-your-own-key AI routing to produce private, local-first meeting artifacts for end users. The labeling work is represented by producing structured conversational text and decision/action extraction from meeting audio. • Recorded meeting audio without joining as a bot, then generated speaker-attributed transcripts • Produced summaries plus key decisions and action items from recorded meetings • Applied privacy-first design with optional self-hosted Node and storage tiers • Owned PRD/backlog/decision log and positioned the product via competitive teardown

2026 - Present

Product Manager — AI Call QC platform (quality scoring and structured insights from sales calls)

Don't discloseAudioAudioTranscriptionTranscription

Built an AI Call Quality Control platform that takes sales call uploads and produces structured quality scores, graphs, and lead-generation insights. Generated reviewer-visible outputs that enabled faster structured review and feature selection using a preference test. The system’s work depends on converting call audio into structured, reviewable text/metrics for downstream decisions. • Labeled/derived quality metrics from uploaded call content for evaluation and lead insights • Produced structured outputs (quality scores, graphs, summaries) for agents and leads • Participated in a 3-variant preference test to select the highest-value QC features • Transformed manual call listening workflows into minutes-level structured review

2024 - Present

Education

M

Manipal University Jaipur

Master of Business Administration, Marketing

Master of Business Administration
2023 - 2026
D

DBS PG College

Bachelor of Science, Physics, Chemistry, and Mathematics

Bachelor of Science
2018 - 2021

Work History

A

Amplior

Product Manager

Dehradun
2024 - Present
A

Amplior

Team Lead, B2B Lead Generation & Data Operations

Dehradun
2023 - 2024