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D
Dharm Singh D.

Dharm Singh D.

AI Engineer | LLMs, Computer Vision & Data Annotation

India flagGurgaon, India

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence (AI)
Machine Learning
Large Language Models (LLMs)
Computer Vision
Natural Language Processing (NLP)

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
DocumentDocument

Top Task Types

SegmentationSegmentation
ClassificationClassification
Text GenerationText Generation
Object DetectionObject Detection
Action RecognitionAction Recognition
TrackingTracking

Freelancer Overview

Dharm Singh Dagar #[email protected] | H+91-8209990596 (cid:128)portfolio-dharm.vercel.app | §github.com/Dharm-dagar | (cid:239)linkedin.com/in/dharm-singh-dagar-4bb36628a Skills Languages: Python(OOP),SQL,C++,Java,JavaScript,TypeScript,C Data&Pipeline: MySQL,MongoDB,SQLite,Redis,Bull(queue-basedworkflows),GoogleBigQuery(fundamentals),Web- Socket,RESTAPIs Backend&APIs: Node.js,Express.js,FastAPI,Flask Frontend: React.js,Next.js,TypeScript,Vite,TailwindCSS,Redux,D3.js,PixiJS,FramerMotion,HTML5,CSS3 AI/ML:LLMIntegration(Claude,Groq),ComputerVision(YOLO,SAM),NLP,FAISS,Qdrant Concepts & Tools: DSA, OOP, Distributed Systems, Stream Processing, System Design, CI/CD | Git, Docker, Postman, Linux Work Experience XelronAI,Remote Jan2026–Present SoftwareDeveloperIntern • Building a Multi-Agent AI Copilot MCP Server enabling automated debugging, repository analysis, and workflow or- chestrationacrosssourcecode,logs,andGitHubsystems. • Architected a 3-agent framework (Planner, Executor, Critic) with async tool execution and session-based memory for structuredtaskdecompositionandautomatedoutputvalidation. • Performed root cause analysis across 200+ structured logs using vector-based anomaly detection (FAISS/Qdrant); integrated8+toolsforPRanalysis,repoparsing,andlogdiagnostics. CoderEdgeTechnology,Remote May2025–Jul2025 SoftwareDeveloperIntern • Developedareal-timeCarScratch&DentDetectionSystem(YOLO-SEG+YOLO+SAM)achieving90%+accuracy andsub-100msinferencelatency. • Designed modular visi

Labeling Experience

I do not have formal professional data-labeling experience as a dedicated annotator

I do not have formal professional data-labeling experience as a dedicated annotator. However, I have worked extensively with AI/ML systems involving computer vision, LLM applications, and model development. In my Car Scratch & Dent Detection project, I worked with object detection and segmentation pipelines using YOLO, YOLO-SEG, and SAM, which required understanding dataset preparation, annotation formats, data quality validation, and model evaluation workflows. I am comfortable learning and performing data annotation tasks and following detailed labeling guidelines.

Not specified

Education

S

School: Indian Institute of Information Technology Vadodara Degree: Bachelor of Technology (B.Tech.) Field of Study: Com

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Software Developer Intern | Xelron AI | Jan 2026 – Present Built a Multi-Agent AI Copilot platform for automated debugg

Location not specified
2026 - Present