Dhroov Goel

Software Engineer

Greater Delhi, Delhi, India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3+ years in full-stack development and AI solutions.
Led onboarding of NVIDIA models generating $8K+ revenue.
Developed automated feedback systems improving decision-making.

Stackforce AI infers this person is a Fullstack Software Engineer specializing in AI-driven solutions.

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Skills

Core Skills

ReactJavaPythonC#

Other Skills

React.jsTypeScriptFluent UIKQLPower AutomateAzure FunctionsAzure Cloud.NETClaude SkillsLightning Web ComponentsCursor AIDjangoAmazon Web Services (AWS)Retrieval-Augmented Generation (RAG)LangChain

About

Software Engineer | AI & Web Technologies Versatile Software Engineer with around 3+ years of experience, specializing in full-stack development and AI-driven solutions. My journey spans: Salesforce -> Part of B2C Commerce Cloud Team. Prominent Tech stack: React, Java, python, LWC. Microsoft → Part of AI Platform Team. Experienced in building user-centric AI platforms, automated feedback intelligence systems and agent-driven systems. Prominent Tech stack: React, Java, C#, python. Always eager to learn, innovate, and drive impactful solutions in AI and web technologies. Open to work & exciting opportunities! Reach out: 📧 dhroovgoel10@gmail.com

Experience

2 yrs 11 mos

Total Experience

2 yrs 4 mos

Average Tenure

7 mos

Current Experience

Salesforce

SDE II

Oct 2025 – Present · 7 mos · Hyderabad, Telangana, India

React.jsJavaReact

Microsoft

Software Engineer

Jun 2023 – Oct 2025 · 2 yrs 4 mos · Hyderabad, Telangana, India

Part of AI Platform Team:
1. Spearheaded E2E support for onboarding 7 NVIDIA NIM models (e.g., Llama 2, DeepSeek) into AI Foundry; launched with $1/GPU-hour pricing and drove 400+ deployments, generating roughly $8K+ in early revenue.
Enabled Microsoft’s first 3P model monetization on Managed Compute, showcased at NVIDIA GTC 2025 and adopted by enterprise partners like BlackRock and Epic Systems, laying groundwork for future model providers like Cohere, Saifr and Paige.
2. Spearheaded E2E UI support for multiple interactive tutorials (Agents Playground, Chat, Image, Realtime Audio Playground) in AI Foundry, boosting Tutorials traffic DAU by 55%+.
Tech Stack: React, TypeScript, Fluent UI.
3. Built an automated feedback analysis pipeline using GPT model and Chat Completions API in Python to summarize 500+ NPS/OCV comments monthly from AI/ML Studio. Applied prompt engineering and batch request handling to ensure high accuracy, reduced latency, and seamless processing at scale, surfacing the key insights.
Reduced triage time by 70% for PMs and leadership by categorizing user feedback into positive, negative, and suggestion subheads, enabling faster identification of high-impact issues and more data-driven decision-making.
Tech/Tools: Python, KQL (Kusto), Power Automate, Azure Functions, Azure Cloud
4.Architected and delivered a full-stack decoupling of user preference store (C#, .NET, React) for AI Studio and ML Studio, enabling 100% data isolation across apps and reducing cross-app settings collision risk by >95%.