Vijay Deshpande

AI Researcher

Bengaluru, Karnataka, India8 yrs 11 mos experience

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Key Highlights

8+ years in AI with a focus on Computer Vision.
Expert in designing scalable AI systems for cloud and embedded platforms.
Published research in IEEE GRSL and Springer PReMI.

Stackforce AI infers this person is a skilled AI Engineer specializing in Computer Vision and Generative AI for enterprise solutions.

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Skills

Core Skills

Generative AiComputer VisionObject DetectionAnomaly Detection

Other Skills

FinetuningMultimodal Large Language ModelsAzure AIVertex AIFastAPIKubernetesMLflowLangChainDatabricksimage embeddingsvision modelsPyTorchtorchscriptPythonDocker

About

AI Engineer and Researcher with 8+ years of experience in Computer Vision, Generative AI, and Edge Intelligence, building scalable, production-ready AI systems across cloud and embedded platforms. At Honeywell, I’ve designed RAG architectures, 3D vision, and planogram compliance systems using Databricks, LangChain, LangGraph, Finetuning, Azure AI, and Vertex AI, integrating LLMs, visual embeddings, and multimodal reasoning for intelligent automation. Previously at Intel R&D (via Wipro), I worked on anomaly detection, face anti-spoofing, and object detection, optimizing SOTA models for Habana AI accelerators. My research interests include vision-language models, Bayesian deep learning, and on-device AI, with publications in IEEE GRSL and Springer PReMI

Experience

8 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Honeywell

Advanced AI Engineer

Jul 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India

At Honeywell, I architected and deployed production-grade AI ecosystems spanning Generative AI, Computer Vision, and Edge Intelligence. I led the design of retrieval-augmented generation (RAG) systems and planogram compliance solutions integrating Gemini, GPT, and Llama models with LangChain and Databricks, enabling seamless multimodal understanding through image embeddings, vision models, and structured reasoning.
I developed a scalable microservices architecture leveraging Azure AI, Vertex AI, FastAPI, Kubernetes, and MLflow, supporting rapid model finetuning and experimentation using LoRA, PEFT, and custom embedding pipelines. By optimizing data ingestion, parallel processing, and inference workflows, I achieved up to 80% faster throughput and 4× improvement in real-time 3D dimensioning performance.
Beyond core development, I mentored AI teams on model optimization, reproducibility, and CI/CD automation, driving measurable gains in time-to-deployment and system scalability. My focus on multimodal fusion, efficient resource utilization, and low-latency design continues to enhance Honeywell’s ability to deliver intelligent, high-performance AI solutions across domains.

FinetuningMultimodal Large Language ModelsAzure AIVertex AIFastAPIKubernetes+3

Intel corporation

AI Consultant

Jul 2019 – Jul 2022 · 3 yrs · Bengaluru, Karnataka, India

I was a part of the PyTorch team at Intel ( AIPG, IOT group)
Successfully developed and deployed object detection, segmentation, and anomaly detection based workloads at Intel’s IoT lab.
Developing and testing PyTorch frameworks on Intel’s AI accelerator. Maintaining CI/CD pipeline and monitoring jobs on the Jenkins.
Working with git, Docker, jenkins, kubernetes, Makefiles, PyTorch, Python, torchscript, vscode and pytest.

PyTorchtorchscriptPythonDockerJenkinsKubernetes+2

Wipro limited

Software Engineer - Machine Learning

Jun 2019 – Jul 2022 · 3 yrs 1 mo · Bengaluru Area, India

I was a part of the PyTorch team at Intel

Perk.com

Software Engineer

Oct 2014 – Sep 2016 · 1 yr 11 mos · Bangalore

Responsible for end-to-end development and deployment of Android application and managing database services
Tools worked on :
Activity, Broadcast Receiver, services, Content provider, Intent, SQLite database, REST API integration, JSON, Custom Layout, Fragments, Push Notifications, Handler, Async Task, Custom Adapter. Android SDK, android studio, Android NDK, JNI, 3rd party SDKs, OpenGL ES 3.1, Canvas, Core java, libGDX, Gradle, Cross-platform game development, Texture Mapper, Bitmap font generator.