Shivam S.

Key Skills

Software

Don't disclose

Top Subject Matter

Computer vision dataset annotation for industrial inspection

Interview assistant RAG prompting and conversational AI training-style workflows

Model training

Top Data Types

Image

Text

Top Task Types

Data Collection

Segmentation

Object Detection

Prompt + Response Writing (SFT)

Freelancer Overview

Deep Learning, Computer Vision & DevOps Intern – Add Innovation Pvt Ltd. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Technology, Vellore Institute of Technology, Chennai (2026). AI-training focus includes data types such as Image and Text and labeling workflows including Data Collection, Segmentation, and Object Detection.

Labeling Experience

Deep Learning, Computer Vision & DevOps Intern – Add Innovation Pvt Ltd

ImageData CollectionSegmentation

Created a custom auto-annotation web platform to manage datasets and streamline computer vision labeling workflows. Enabled efficient dataset organization and preparation for training YOLO object detection and U-Net segmentation models. Designed labeling workflow support to improve turnaround for industrial vision annotation tasks. • Developed VisionLab for dataset management and labeling workflow orchestration • Supported preparation of datasets used in YOLO detection training • Supported preparation of datasets used in U-Net segmentation training • Focused on consistent dataset handling for industrial inspection use cases

2026 - Present

AI & ML Engineering Freelancer - AceInterview.in

Text

You worked as an AI & ML Engineering freelancer delivering LLM and RAG-based backend systems for interview automation. You implemented retrieval-augmented generation components, low-latency streaming integrations, and scalable serving for concurrent users. The work required expertise in LLM pipelines, prompt engineering, system reliability, and integrating third-party payment services. • Built a TF-IDF based RAG system with significant memory optimization improvements • Integrated HeyGen streaming avatar infrastructure with low latency and high stability • Designed prompt templates with automatic interview-framework detection (STAR/CAR) • Implemented premium subscription billing using Razorpay and maintained high uptime with fast response times

2022 - 2025

AI & ML Engineering Freelance – AceInterview.in

Don't discloseTextPrompt + Response Writing (SFT)

Built an information-retrieval augmented generation (RAG) system to support question answering over text knowledge. Implemented prompt templates tied to interview frameworks to guide consistent model behavior. Improved system efficiency through memory optimization while maintaining user-facing performance. • Implemented TF-IDF based retrieval for RAG • Built 8+ prompt templates with STAR/CAR interview-framework detection • Achieved memory optimization (500MB to 120MB) • Improved stability and uptime while serving concurrent users

2022 - 2025

AI & ML Intern – SmartInternz

Don't discloseImage

Performed AI/ML development activities that involved training and validating predictive computer vision or related models. Improved model accuracy through systematic hyperparameter tuning and iteration. Deployed models and measured user satisfaction to assess real-world performance. • Tuned hyperparameters to improve model accuracy by 25–30% • Deployed models reaching 95% accuracy • Achieved 90% user satisfaction feedback • Reduced development time by 30% via cross-functional collaboration

2024 - 2024

Education

Work History