Avinasha D

Results-driven AI/ML Data Annotation Analyst (Team Lead, SME, POC and QC) with 6 years 10 months of experience in Human-in-the-Loop (HITL) AI/ML operations, Computer Vision, data annotation, data labeling, quality assurance, production management, and team leadership across Image, Video, Audio, Text, Document, and LiDAR datasets. Experienced in supporting AI/ML and Computer Vision applications, including Generative AI, Large Language Models (LLMs), Conversational AI, Chatbots, NLP, Named Entity Recognition (NER), Data Loss Prevention (DLP), ADAS, Autonomous Vehicles, GIS Mapping, and Website Tagging projects. Strong expertise in creating, annotating, validating, and reviewing high-quality training datasets for AI/ML, Computer Vision and HITL models through Text Annotation, Named Entity Recognition (NER), Intent Classification, Audio Transcription, Speech Annotation, Sentiment Analysis, Object Detection, Bounding Box Annotation, Semantic Segmentation, Instance Segmentation, Object Tracking, and LiDAR Point Cloud Annotation using Human-in-the-Loop (HITL) methodologies.

Proven track record of leading annotation teams, conducting quality audits, managing production metrics, resolving policy-related queries, collaborating with AI/ML engineers and cross-functional stakeholders, and delivering high-quality Human-in-the-Loop (HITL) datasets that improve AI/ML and Computer Vision model performance, accuracy, and reliability.

Senior Software Engineer – AI/ML Data Annotation Analyst at Wissen Technology (2024-06 – 2025-12)

Worked on AI and ML projects involving image and video annotation for model training and validation. Supported website tagging projects.

• Performed image and video annotation for machine learning model training and validation.
• Executed object detection, classification, segmentation, and tracking tasks.
• Worked as Subject Matter Expert (SME), Point of Contact (POC), and Super Quality Checker (SQC).
• Led a team of annotators and reviewers for AI/ML annotation projects.
• Conducted annotation reviews, audits, and quality validation.
• Ensured compliance with project guidelines and client requirements.
• Managed task allocation, productivity tracking, and quality reporting.
• Conducted root cause analysis and implemented corrective actions.
• Collaborated with AI/ML engineers and stakeholders to improve dataset quality.
• Supported website content tagging and classification projects.
• Facilitated training sessions, calibration meetings, and policy discussions.

Software Engineer – Dialogue / Conversation Designer at TEKsystems Global Services (2022-02 – 2023-04)

Worked on conversational AI and chatbot training projects involving NLP, intent annotation, speech and Text annotation, and document labeling.

• Annotated chatbot conversations for NLP and Conversational AI projects.
• Performed Named Entity Recognition (NER), intent annotation, and text classification.
• Created intents, utterances, and training phrases for virtual assistants.
• Conducted speech annotation, audio transcription, and speech-to-text validation.
• Performed sentiment annotation and conversation flow analysis.
• Reviewed AI-generated responses and training datasets.
• Worked on document annotation and PDF labeling projects.
• Annotated sensitive information for DLP projects involving banking and government datasets.
• Conducted Final Quality Checks (FQC) before client delivery.
• Led training sessions and mentored new team members.
• Collaborated with AI/ML teams to improve annotation guidelines and model performance.

Consultant – Senior Data Annotator at L&T Technology Services (2019-09 – 2021-03)

Worked on ADAS and autonomous driving projects involving LiDAR, image, video, and text annotation for AI model development.

• Annotated LiDAR point cloud, image, video, and text datasets.
• Performed object detection, classification, semantic segmentation, and object tracking.
• Created high-quality datasets for ADAS and autonomous driving applications.
• Annotated vehicles, pedestrians, cyclists, traffic signs, lane markings, and road objects.
• Conducted quality reviews and validation checks.
• Collaborated with project teams to improve annotation workflows and efficiency.
• Ensured compliance with client guidelines and quality standards.
• Provided feedback and coaching to annotators.

Senior Associate – Data Annotator at Wipro Limited (2016-11 – 2019-07)

Worked on autonomous vehicle annotation projects involving LiDAR, image, and video datasets for AI model training.

• Performed LiDAR, image, video, and text annotation for autonomous vehicle projects.
• Annotated lane markings, traffic signals, road signs, vehicles, pedestrians, cyclists, and animals.
• Conducted object detection, classification, and tracking tasks.
• Performed GIS mapping and map correction activities.
• Reviewed annotation outputs for accuracy and completeness.
• Supported guideline development and process improvement initiatives.
• Worked closely with reviewers, team leads, and clients to meet project objectives.

Master of Science (M.Sc.) in Remote Sensing & GIS Applications – Kuvempu University (2016)