Aditya Gupta

CEO

Noida, Uttar Pradesh, India4 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced case resolution time from 14.38 days to 5 minutes.
Developed multiple intelligent services for meeting automation.
Automated ML training workflows, saving €10K/year.

Stackforce AI infers this person is a SaaS-focused AI Engineer with strong backend development capabilities.

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Skills

Core Skills

AiApi DevelopmentMachine Learning

Other Skills

AngularJSAzure appC++Collaborative Problem SolvingData StructuresDesignDockerFace RecognitionFastAPIFlaskHelmLangChainLarge Language Models (LLM)LlamaMLflow

About

🚀 AI Engineer | Backend Developer | Problem Solver Passionate about building scalable AI-driven solutions and optimizing system performance, I specialize in API development, AI/ML integrations, and automation. At Barco, I designed and deployed a Retrieval-Augmented Generation (RAG) system, reducing case resolution time from 14.38 days to 5 minutes by integrating real-time querying across vast knowledge bases. I’ve also automated ML training workflows, developed object detection APIs, and built intelligent services like gesture recognition, speech-to-text, and AI-powered meeting solutions. Skilled in Python, FastAPI, Flask, Docker, and VectorDBs 🏆 Achievements: Barco Geaxovation Runner-up, Microsoft Certified (AZ-900), Hackathon finalist (Microsoft Learn).

Experience

4 yrs 6 mos

Total Experience

1 yr 8 mos

Average Tenure

3 yrs 4 mos

Current Experience

Barco

3 roles

Senior AI Engineer

Promoted

Jun 2025 – Present · 11 mos · Noida, Uttar Pradesh, India

Led the development of Agent Infrastructure in Barco
Moved from reactive approach to pro-active approach using AI agents in Barco Clickshare devices
Converting the team from 2 ICs to 8 ICs
Streamlined deployment processes, enabling GPU based inferences for wide variety of projects

AIAPI developmentsystem performance optimizationteam leadership

AI Engineer

Jan 2023 – Jul 2025 · 2 yrs 6 mos · Noida, Uttar Pradesh, India

1️⃣ Retrieval-Augmented Generation (RAG) System
📌 Project Overview:
Designed and deployed an RAG-based knowledge retrieval system integrated with Salesforce and Barco’s Mobile App.
Enabled real-time semantic search over 500+ PDFs, 5,000+ KB articles, and 50K+ service cases using Milvus (vector DB).
📊 Impact:
✔️ Reduced case resolution time from 14.38 days to 5 minutes by providing engineers instant answers and metadata.
✔️ Improved customer support efficiency by implementing query expansion & metadata filtering for ambiguous queries.
🛠 Tech Stack: FastAPI, Milvus VectorDB, LangChain, Ollama, Llama, Docker
2️⃣ Automated Training Manager for Vision Models
📌 Project Overview:
Developed an ML training pipeline to automate training, artifact management, and API deployment for 12+ vision models (ResNet18, UNet, VAE).
Streamlined end-to-end ML lifecycle, from dataset ingestion to model deployment using MLflow and Docker.
📊 Impact:
✔️ Reduced manual QA costs by €10K/year via automated defect detection (dead pixels, blemishes) in manufacturing.
✔️ Enabled global teams to train models and deploy APIs seamlessly for screen-testing automation.
🛠 Tech Stack: MLflow, TensorFlow, PyTorch, Docker, Helm

FastAPIMilvus VectorDBLangChainOllamaLlamaDocker+2

Software Engineering Intern

Jan 2023 – Jun 2023 · 5 mos · Noida, Uttar Pradesh, India

AI-Powered Smart Meeting Automation (Internship - Innovation Team)
📌 Project Overview:
Developed 5 intelligent services, including Object Detection (Fire & Smoke), Gesture Recognition, Face Recognition, and Speech-to-Text.
Implemented automated room booking and attendee recognition using Microsoft Graph API & face authentication.
📊 Impact:
✔️ Demonstrated the project in Barco’s Seed Board, securing funding for further innovation.
✔️ Improved automation for Barco’s ClickShare devices in corporate meeting rooms.
🛠 Tech Stack: FastAPI, Flask, Microsoft Graph API, Face Recognition, NLP