ML Lead / Research Lead at Vyro

● Reported directly to CTO; led ML pipeline development for AI-based content generation platforms and engineered high-throughput ML serving systems handling millions of daily requests.. ● Led the development of AI-driven workflows, overseeing the Image and Video Studios for imagine.art, driving innovations in style transfer, content references, and user customization through trained adapters and LoRAs. ● Built and trained custom diffusion models and LoRAs for style transfer, face editing, and AI filters. ● Spearheaded the chatlyai.app platform, integrating advanced LLMs (GPT, Gemini, Claude) into a unified RAG-powered system, optimizing STM and LTM for dynamic user experiences. Developed agentic LLM workflows using LangChain for adaptive user interaction and personalized generation. ● Managed CI/CD pipelines, optimized workflows, and oversaw our own Kubernetes clusters with hundreds of GPUs to ensure smooth, scalable deployment of machine learning models. ● Launched ImagineArt 1.0, a cutting-edge image model renowned for its realism and candidness; led the design of data pipelines, training processes, and advanced post-training techniques like reward modeling and DPO. ● Currently leading the R&D department, focusing on foundational model architecture and scaling machine learning innovations.

Sr. Machine Learning Engineer at Turing

Developed ML models for developer-job matching and ranking, enhancing system precision and throughput. Integrated LLMs to enrich feature extraction and similarity scoring in matching systems. Built and deployed scalable ML pipelines using Vertex AI, orchestrated with Airflow, and integrated Feature Store for both production inference and offline backtesting, along with Model Versioning. Ran A/B experiments, resulting in a 7% increase in customer throughput. Defined KPIs and collaborated with product teams to refine ML-powered decision systems.

Machine Learning Engineer (Lead) at Sibme

Led the development of an AI-based teacher grading system with 85% classification accuracy. Built full-stack deployment using Docker, AWS, and REST APIs. Engaged with stakeholders to define success metrics and align ML output with user expectations.

Machine Learning Engineer at UAVinity

Built computer vision systems for object detection using aerial drone imagery. Developed real-time AQI forecasting models via sensor networks and live traffic data fusion.

ML Lead at Vyro

Led ML pipeline development for AI-based content generation platforms; reported to CTO; directed feature design and optimization for ImagineArt (25M+ downloads) across web studios including Image, Video, and Voice; engineered high-throughput ML serving systems handling millions of daily requests; built and trained custom diffusion models and LoRAs for style transfer, face editing, and AI filters; developed agentic LLM workflows using LangChain for adaptive user interaction and personalized generation; drove innovation across apps Chatly, Reshot, Imagine, and Artify (each 100K–10M+ downloads); currently leading foundational model R&D including architecture design and training at scale.

Sr. Machine Learning Engineer at Turing

Developed ML models for developer-job matching and ranking, enhancing system precision and throughput; integrated LLMs to enrich feature extraction and similarity scoring in matching systems; built and deployed scalable ML pipelines using Vertex AI, orchestrated with Airflow, and integrated Feature Store for production inference and offline backtesting, along with Model Versioning; ran A/B experiments resulting in a 7% increase in customer throughput; defined KPIs and collaborated with product teams to refine ML-powered decision systems.

Machine Learning Engineer (Lead) at Sibme

Led the development of an AI-based teacher grading system with 85% classification accuracy; built full-stack deployment using Docker, AWS, and REST APIs; engaged with stakeholders to define success metrics and align ML output with user expectations.

Machine Learning Engineer at UAVinity

Built computer vision systems for object detection using aerial drone imagery; developed real-time AQI forecasting models via sensor networks and live traffic data fusion.

ML Lead / Research Lead at Vyro

Led ML pipeline development for AI-based content generation platforms and engineered high-throughput ML serving systems handling millions of daily requests. Directed AI-driven workflows for image and video studios, enabling style transfer, content references, and user customization through trained adapters and LoRAs. Built and trained custom diffusion models and LoRAs for style transfer, face editing, and AI filters. Spearheaded the chatlyai.app platform, integrating advanced LLMs (GPT, Gemini, Claude) into a unified RAG-powered system, and developed agentic LLM workflows using LangChain for adaptive user interaction. Managed CI/CD pipelines and Kubernetes clusters with hundreds of GPUs to ensure scalable deployment of ML models.

Sr. Machine Learning Engineer at Turing

Developed ML models for developer-job matching and ranking, enhancing system precision and throughput. Integrated LLMs to enrich feature extraction and similarity scoring. Built scalable ML pipelines using Vertex AI, Airflow, and a Feature Store; implemented model versioning and offline backtesting. Led A/B experiments resulting in a 7% increase in customer throughput; defined KPIs and collaborated with product teams to refine ML-powered decision systems.

Machine Learning Engineer (Lead) at Sibme

Led an AI-based teacher grading system achieving 85% classification accuracy. Built full-stack deployment using Docker, AWS, and REST APIs; collaborated with stakeholders to define success metrics and align ML outputs with user expectations.