Anshul Singh

Led a squad of 11 coding specialists delivering high-volume AI training data, owning day-to-day execution, workflow setup, quality control, and on-time delivery. Translated ambiguous project guidelines into structured SOPs, review checklists, and audit workflows-reducing defects and improving throughput reliability. Managed expert engagement by onboarding contributors, monitoring pipeline health, and maintaining high participation across multiple queues.

Squad Lead - Outlier (Scale AI) - Remote

(2024-11 - 2025-11)

• Led a squad of 11 coding specialists delivering high-volume AI training data, owning day-to-day execution, workflow setup, quality control, and on-time delivery.
• Translated ambiguous project guidelines into structured SOPs, review checklists, and audit workflows-reducing defects and improving throughput reliability.
• Managed expert engagement by onboarding contributors, monitoring pipeline health, and maintaining high participation across multiple queues.
• Tracked operational KPIs (accuracy, SLA adherence, turnaround time) and provided visibility to Delivery Leads through weekly dashboards and progress updates.
• Partnered with Strategic Project Leads to resolve execution bottlenecks, proactively reallocating workload and unblocking contributors to keep milestones on track.

Systems Engineer (DevOps) - Client: CISCO - Tata Consultancy Services - Delhi, India

(2025-02)

• Coordinated cross-functional work streams supporting data platform operations on AWS, ensuring clear communication between engineering, product, and client teams.
• Maintained structured, auditable environments by managing Snowflake roles, RBAC frameworks, and scheduled compute resources.
• Implemented automated CI/CD workflows, strengthening process reliability and giving stakeholders consistent visibility into release readiness.

Algorithmic Trader, Trainee - CleverBharat - Remote

(2024-09 - 2024-10)

• Designed automated data pipelines that collected real-time market signals and Greeks, applying rigorous validation and storage standards to keep datasets analysis-ready.
• Operated ingestion systems on AWS (EC2, S3, CloudWatch), monitoring performance, addressing failures quickly, and ensuring consistent delivery of time-sensitive data.

Revenue Operations Analyst, Project Trainee - ZOHO - Chennai, India

(2024-03 - 2024-08)

• Analyzed customer, revenue, and lead-conversion data to produce insights used by sales and marketing teams for strategic planning and forecasting.
• Built dashboards and reports in Sheets/Zoho Analytics that improved visibility into pipeline health, monthly revenue trends, and performance KPIs.
• Proposed and implemented workflow optimizations that streamlined lead-processing and improved coordination between operations and strategy teams.
• Developed Python-based automation scripts that cut manual data collection time by 65%, strengthening analysis speed and quality.

B.Tech Honours - Computer Science and Business Systems - Shanmugha Arts, Science, Technology & Research Academy (2020-06 - 2024-07)

Higher Secondary School (XII) - Guru Har Rai Academy (2019-04)

Secondary School (X) - Guru Har Rai Academy (2017-04)