Headline

ML/AI Engineer | Generative & Conversational AI | Architecting High-Throughput Inference Systems

About

I am an ML Engineer with hands-on experience in developing and deploying end-to-end AI solutions. While my recent focus has been in the generative video domain, the core of my work involves the exact skills required to build powerful, intelligent features. My experience includes: Designing and Building End-to-End AI Systems: I have a proven track record of architecting and developing complete AI features, from data processing and model development to building scalable inference pipelines. My work with advanced Transformer-based architectures provides a strong foundation for diving deep into prompt engineering and fine-tuning LLMs. Rapid Prototyping and Integration: I have experience building prototypes quickly by integrating multiple models and technologies to create enhanced, production-ready applications. I am adept at engineering the infrastructure needed to support these integrations, ensuring they are both efficient and reliable. Problem-Solving and Adaptability: I am passionate about applying my foundational AI/ML skills to new challenges and am excited by the prospect of leveraging my experience to develop conversational assistants, automate workflows, and unlock predictive insights.

Location

Bengaluru

AI stack

claude code

codex

grok

hugging face

langchain

claudecode

Work experience

Senior Machine Learning Engineer at Kapture CX, Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India

Machine Learning Engineer at Kapture CX, Aug 2025 - Apr 2026 · 9 mos, On-site

Machine Learning Engineer at Hyathi Technologies, Apr 2024 - Aug 2025 · 1 yr 5 mos, Remote

Founding Machine Learning Engineer at SoundIMAGE, Apr 2024 - Aug 2025 · 1 yr 5 mos, Remote, Engineered and led the development of complete deep learning solutions for complex generative AI tasks, managing projects from initial concept and data engineering to optimized deployment. Architected a robust data preprocessing pipeline for large video datasets, which significantly improved data quality and training efficiency through automated filtering, advanced normalization, and intelligent data segmentation. Managed the full MLOps lifecycle, using modern platforms for distributed training (DDP), automated metric logging, and model management.

Graduate Trainee at LTIMindtree, Feb 2023 - May 2023 · 4 mos

Education

Bachelor of Technology - BTech, Mechanical Engineering, PES University

Profile highlights

What I'm currently working on: At Kapture CX, I am currently developing and deploying end-to-end AI solutions to enhance conversational assistants. I focus on fine-tuning LLMs and building scalable inference pipelines to automate complex customer support workflows.

Public links

github: https://github.com/pawansharmaaaa