Bhavarth Bhangdia

AI Researcher

Bengaluru, Karnataka, India2 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led development of AI tools impacting millions.
Optimized inference time by 70% in production.
Passionate about real-time ML systems and collaboration.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Generative AI and scalable ML systems.

Contact

bhavarth.bhangdia@pixlr.com LinkedIn

Skills

Core Skills

Generative AiMl & Deep LearningApplied Machine LearningModel OptimizationData ScienceMachine LearningWeb DevelopmentFull-stack Development

Other Skills

AI-generated code evaluationAgile MethodologiesAlgorithmic enhancementsAmazon Web Services (AWS)Analytical SkillsC++CUDACUDA programmingCascading Style Sheets (CSS)Code maintainabilityCode readabilityCommunicationComputer VisionControlNetsCybersecurity fundamental

About

I’m a Machine Learning Engineer with 1.5+ years of experience building production-grade generative AI pipelines, with a focus on diffusion models, real-time inference, and cloud-scale deployment. My background combines deep technical skill in ML model optimization, image/video generation, and distributed system design. Core Skillset: ML & Deep Learning (PyTorch, TensorFlow, Hugging Face) Generative AI (Stable Diffusion, IP-Adapter, LoRA fine-tuning) Scalable Inference (Ray Serve, Docker, AWS, FastAPI) Applied Research & Production Deployment Career Highlight: At Pixlr, I led the development of a high-scale image editing pipeline serving 10M+ users, optimizing inference time by 70% using custom LoRA-based fine-tuning, last-layer distillation, and model chaining techniques. I'm passionate about pushing the boundaries of AI with efficient, real-time ML systems and collaborating across product and research teams to turn complex models into tangible experiences. Let’s connect if you’re working on cutting-edge ML/AI infrastructure or building real-world applications with generative models! 🚀 What Drives Me: I’m inspired by the potential of AI to revolutionize industries and transform everyday experiences. Collaborating with a talented team and tackling complex challenges is what fuels my enthusiasm. I’m always eager to connect with others who share a passion for AI and its future.

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 10 mos

Current Experience

Pixlr online ai photo editor

Machine Learning Researcher

Aug 2024 – Present · 1 yr 10 mos · Singapore · Remote

Engineered advanced AI solutions across Image Processing, Generative AI, NLP, NLG, and NLU domains, driving innovation from R&D to production.
Led AI architecture for the "AI Designs" Tool (designs.ai/ai-design/en), integrating cutting-edge text-to-image.
Specialized in Stable Diffusion, SDXL LCM LoRA models, OmniGen, Imagen, Diffusers, Transformers, LLMs, RAG (Retrieval-Augmented Generation), ControlNets, and Whisper for speech-to-text.
Developed a high-performance text-to-image and image-to-image generation pipeline, optimizing inference by up to 70% through CUDA programming and Python-GPU integration.
Spearheaded AI deployment processes with MLOps best practices, collaborating closely with DevOps to integrate model serving pipelines using Ray Serve, boosting throughput by 120% under high-load scenarios.
Pioneered commercialization of AI tools within Pixlr.com, from proof of concept (POC) to scalable real-world applications impacting millions of users.

Image ProcessingGenerative AINLPNLGNLUStable Diffusion+14

Scale ai

AI Coder

Dec 2023 – May 2024 · 5 mos · United States · Remote

➔ Evaluated the quality of AI-generated code through comprehensive analyses, resulting improvement in code readability and maintainability.
➔ Resolved coding problems with efficient solutions, meeting requirements and constraints with a high success rate.
➔ Optimized code performance to achieve maximum efficiency, identifying and addressing performance bottlenecks through algorithmic enhancements and memory optimizations.
➔ Developed, tested, and implemented high-quality source code within deadlines.

AI-generated code evaluationCode readabilityCode maintainabilityPerformance optimizationAlgorithmic enhancementsMemory optimizations+2

Stealth data startup

Data Science Intern

Oct 2023 – Dec 2023 · 2 mos · India · Remote

Attained proficiency in Python, and Kaggle notebooks, and applied mathematical and statistical principles to real-world datasets.
Created diverse datasets, architecting robust pipelines, and optimizing ETL processes for enhanced efficiency and data handling.
Cultivated the ability to convey complex ideas through compelling data stories.

PythonKaggle notebooksMathematical principlesStatistical principlesETL processesData Science+1

Artificial intelligence tools and applications

Full-stack Developer

May 2023 – Jun 2023 · 1 mo · Prayagraj, Uttar Pradesh, India · On-site

Developed and Launched a Dynamic website providing a seamless platform for students.
Implemented an immersive user experience, enabling easy navigation of program details, curriculum, and
speaker profiles.
Integrated Google Maps API for precise venue location and streamlined travel arrangements.
Engineered a secure and efficient online enrollment system, streamlining the registration process for
over 55+ students from diverse colleges across the country.
Produced 70+ hours of engaging content to enhance the website’s learning resource.

Dynamic website developmentUser experience designGoogle Maps API integrationOnline enrollment systemWeb DevelopmentFull-stack Development