Sudip Mukherjee

Data Annotation & QA Team Lead with over 6 years of experience spearheading large-scale data operations for machine learning and AI development. Proven track record of scaling cross-functional teams, implementing strict QA frameworks, and optimizing audio transcription and annotation workflows to deliver high-fidelity datasets. Adept at bridging the gap between technical requirements and operational execution, ensuring 99%+ accuracy while consistently meeting aggressive project timelines.

AI Data Annotation Project Team Lead at STRAIVE (2026-03 – Present)

Project Focus: Multi-Model AI Training & Audio Data Enhancement Spearheaded the data labeling pipeline for text, image, and complex audio datasets used to train next-generation LLMs and computer vision models. Supervised the precise segmentation, verbatim transcription, and linguistic annotation of multi-dialect audio samples to improve automatic speech-recognition (ASR) AI models.

• Team Leadership & Scaling: Lead a high-performing team of data annotators and transcriptionists, managing daily workflows, assigning tasks, and conducting performance evaluations to maintain maximum productivity.
• QA & Accuracy Optimization: Enforced strict QA frameworks, reducing label and transcription error rates to achieve and maintain a 99%+ data accuracy threshold.
• Cross-Functional Collaboration: Partnered with machine learning engineers and data scientists to translate complex technical requirements into actionable transcription and annotation guidelines.

Label Manager at CHILLED CAT MUSIC (2025-10 – 2026-03)

Project Focus: Lo-Fi Portfolio Expansion Directed the release calendar and content curation for global digital streaming platforms, ensuring seamless ingestion, metadata accuracy, and brand alignment.

• Operations Management: Managed end-to-end operations for a full-service record label dedicated to promoting lo-fi mood music.
• Content Quality Control: Audited audio submissions to ensure strict alignment with the label's branding, sonic quality standards, and thematic vibe emphasizing relaxation and nostalgia.

Operations / Label Management at BANDEDGE PVT. LTD (2024-09 – 2025-03)

Project Focus: Live Concert & Agency Operations Managed operational tracking, timeline enforcement, and artist booking pipelines for multiple simultaneous live events and commercial agency campaigns.

• Event & Talent Execution: Coordinated logistics, contract negotiations, and operations across artist representation, influencer casting, and concert planning.
• Workflow Supervision: Led cross-functional operational teams to ensure flawless execution of high-profile entertainment events and talent booking campaigns.

Artist Relations / Music QA / Distribution at MADVERSE (2024-01 – 2024-05)

Project Focus: Metadata & Audio Integrity Automation Developed manual-to-automated testing checks for distributed audio files to prevent platform rejection, ensure seamless ingestion, and facilitate cross-pollination.

• Quality Assurance Auditing: Conducted thorough quality checks on incoming audio assets and metadata to comply with international streaming platform policies.
• Platform Support: Assisted independent creators in utilizing best-in-class distribution technology to empower the community and optimize global fan engagement.

Label Management at 4NC¥ (2020-03 – 2024-01)

Project Focus: Global Content Ecosystem Launch Managed the successful curatorial and technical pipeline for over 3 years of underground music and visual art releases across diverse international markets.

• Global Network Development: Established and scaled the 4NC brand as a prominent global platform and network for underground musicians and visual artists.
• Strategic Project Management: Directed international asset delivery, cross-border digital distribution, and collaborative media projects.

Diploma in Audio Engineering – I Love Music Academy (2015-01 – 2016-01)

Diploma in Music Business – I Love Music Academy (2015-01 – 2016-01)