Mohit G.

Key Skills

Software

Labelbox

Label Studio

Scale AI

Appen

Top Subject Matter

AI & Large Language Models (LLMs) – Prompt Engineering, Response Evaluation, Data Annotation

Healthcare Technology – Claims Processing, Healthcare Data & Workflow Systems

E-commerce & Enterprise Software – Product Catalogs, Customer Experience, Backend Systems

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Text Generation

Question Answering

Text Summarization

Data Collection

Computer Programming/Coding

Prompt + Response Writing (SFT)

Function Calling

Evaluation/Rating

Freelancer Overview

Senior Software Engineer. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and GitHub Actions. Education includes Bachelor of Technology, Chandigarh Group of Colleges (CGC), Landran (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Text Generation.

Labeling Experience

Senior Software Engineer at Healthcare Firm — LLM-based security automation (Feb 2025–Present)

Text Generation

Led development and deployment of AI-powered security tooling using LLMs integrated into CI/CD workflows. Reduced vulnerability remediation time by implementing automated detection and fixing logic for code dependencies and security issues. Coordinated infrastructure and DevOps activities to ensure the AI tooling shipped reliably and performed at production scale. • Built LLM-based security tooling deployed via GitHub Actions. • Performed prompt engineering to generate accurate code fixes. • Implemented automation to minimize manual intervention. • Improved CI/CD and orchestration reliability to support AI workflows.

2025 - Present

Dependabot Security Auto-Fixer — Company Hackathon 2025 Winner (AI/LLM automation for vulnerability remediation)

Text Generation

Engineered and deployed an AI-powered workflow that applies LLM-driven fixes for detected vulnerabilities. The work involved processing structured code artifacts (pom.xml) and generating AI-produced remediation outputs to reduce developer effort. This was delivered as an automated solution integrated into the software development pipeline. • Detect CVEs in pom.xml files and trigger LLM-based remediation generation. • Apply AI-driven fixes automatically with zero manual intervention. • Support organization-wide adoption and operational rollout to engineering teams. • Combine LLM prompting with CI/CD orchestration for repeatable results.

2025 - Present

Software Engineer at Healthcare Firm — AI/LLM integration, prompt engineering, and automation (Oct 2021–Feb 2025)

Prompt + Response Writing (SFT)

Developed AI/LLM-enabled automation and security tooling by integrating LLMs with prompt engineering into production workflows. Applied data-driven pipeline optimization and static analysis to improve quality and reduce issues in large-scale code and data processing systems. Worked on building and refining AI-driven components that generate actions or code changes from prompts and contextual knowledge. • Built and integrated AI-powered systems using LLMs for software security automation. • Used prompt engineering and curated knowledge bases to guide accurate outputs. • Optimized backend data processing pipelines used by the AI tooling. • Collaborated in agile development to iterate on AI integrations and reliability.

2021 - 2025

Education

Work History