Shashank C.

Key Skills

Software

Other

Top Subject Matter

Healthcare NLP for US dental/medical appointment booking and after-hours calls

E-commerce data quality

compliance QC

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Tracking

Freelancer Overview

Founder & AI Systems Architect - Shanixs AI Automation Agency. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, GNIOT. AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

Founder & AI Systems Architect - Shanixs AI Automation Agency

Text

Built and architected Muskan, an AI voice agent for US dental and medical clinics, covering conversational design, dataset creation support, and performance evaluation. Designed structured prompt templates and synthetic dialogue scenarios to improve LLM quality for appointment booking and after-hours call handling. Led automation and quality improvement initiatives using NLP and LLM API integrations, requiring strong AI systems engineering and evaluation skills. • Designed NLP dialogue pipeline and intent/entity labeling strategy for healthcare voice use cases. • Engineered prompt structures and synthetic training scenarios to optimize response relevance and reduce hallucinations. • Implemented n8n workflows integrating LLM APIs with CRM and communication platforms for scalable processing. • Trained team members and clients on AI-assisted workflows, prompt engineering, and system adoption.

2024 - Present

Founder & AI Systems Architect — Shanixs AI Automation Agency (2024–Present): Conversational AI training data and model evaluation for a healthcare voice agent.

OtherAudioTranscription

Designed and developed Muskan, an AI voice agent for US dental and medical clinics, using dialogue training data creation and transcript-based evaluation to improve conversational performance. Built and curated healthcare conversation utterance libraries and edge-case dialogue examples to strengthen model fine-tuning signals and reduce errors. Performed systematic quality audits of AI outputs and iterated on training data and prompt structures to minimize hallucinations and improve relevance. • Created labeled transcripts and conversation training datasets for after-hours call handling. • Defined intent mapping and slot-filling annotation schemas for dialogue understanding. • Implemented evaluation frameworks using false-positive and conversation completion metrics. • Refined synthetic training scenarios and prompt templates to optimize LLM responses.

2024 - Present

Operations Lead – Data & Logistics - [E-commerce Company]

TextTracking

Managed multi-client data workflows for e-commerce operations, including inventory tracking, FBA shipment reconciliation, and supplier performance reporting across Amazon Seller Central and Walmart. Developed structured data pipelines and QC templates to improve FBA labeling compliance and reduce reimbursement denial rates. Coordinated teams and vendors using data-driven purchasing and analytics, demonstrating operational analytics and process management skills. • Standardized FBA labeling compliance through QC templates and structured data pipelines. • Trained a cross-functional team of 6+ members on data management, order processing tools, and quality SOPs. • Analyzed inventory and demand to support supplier coordination and purchasing decisions. • Prepared evidence packages for UPS damage claims and Amazon Seller Central escalations to recover losses.

2023 - Present

Operations Lead – Data & Logistics — [E-commerce Company] (2023–Present): Quality control and compliance-oriented data workflow management.

OtherText

Managed multi-client data workflows that included standardizing FBA labeling compliance using QC templates and structured evidence packages for escalations. Developed standardized data pipelines and quality-control procedures to reduce reimbursement denial outcomes across Amazon and Walmart platforms. Trained a cross-functional team of 6+ members on data management systems, order processing tools, and quality control SOPs to improve processing speed and accuracy. • Applied QC template checks to ensure labeling compliance for logistics and inventory workflows. • Produced structured evidence packages for UPS damage claims and platform escalations. • Trained team members on data quality control SOPs and tools. • Used inventory analytics and reporting to inform data-driven operational decisions.

2023 - Present

Education

Work History