Avinash Jha

Product Manager

New Delhi, Delhi, India5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved AIR 26 at ZS Campus Beats Hackathon
Global Rank 157 in CodeChef Starters 132
Built AI-driven systems improving data quality

Stackforce AI infers this person is a Full Stack Developer with a focus on AI and enterprise applications.

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Skills

Core Skills

Full Stack DevelopmentReact.jsPythonAi Development

Other Skills

Workday ExtendPython (Programming Language)open aiOpenCVGemini APIOrchestrationBusiness ObjectsREST APIsSOAP APIGoogle GeminiLarge Language Models (LLM)OptimizationGitAlgorithm DesignFront-End Development

About

At Makse Group Pvt. Ltd., I contribute as an Associate Developer, building enterprise applications on Workday Extend while leveraging skills in system design, SCSS, and UI-focused development to deliver scalable and user-centric solutions. My work reflects a strong foundation in full-stack development and problem-solving, built through hands-on industry experience and continuous learning. Previously, as a Developer Intern at InfoEdge India Ltd., I worked on AI-driven image moderation and duplicate detection systems using Python, OpenCV, and Gemini APIs, developed crawlers for multiple State RERA portals, and built automation pipelines to improve data quality and business insights. I’ve also achieved AIR 26 at the ZS Campus Beats Hackathon and Global Rank 157 in CodeChef Starters 132, and I’m actively seeking Software Development Engineering opportunities where I can contribute to impactful products while growing with modern technologies.

Experience

Makse group

Associate Software Developer

Oct 2025 – Present · 5 mos · Gurugram, Haryana, India · On-site

React.jsWorkday ExtendFull Stack Development

Info edge india ltd

Software Engineer Intern

Jan 2025 – Jul 2025 · 6 mos · Noida, Uttar Pradesh, India · On-site

Designed an image moderation & duplicate detection system using Python, OpenCV, Gemini 2.0 Flash, SSIM & pHash — reduced duplicate detection effort by 60%+ and improved listing quality.
Developed web scrappers for 15 State RERA websites, extracting & structuring project data for better accessibility and completeness.
Automated sales productivity analysis, delivering actionable insights that boosted sales team efficiency.
Built an AI-powered property review pipeline with Python, OpenAI API & Gemini API — achieved 75% accuracy, enabling buyers to make informed investment decisions.
Built a real estate project-to-bank mapping tool across 14 loan-approving banks, strengthening data traceability & ensuring audit compliance.

Python (Programming Language)open aiOpenCVGemini APIPythonAI Development