I am a Machine Learning Engineer with hands-on experience deploying LLM-powered systems and high-performance AI solutions. I have built production-grade integration pipelines combining Python AST parsing and LLM-based code generation, reducing hallucination rates and improving API reliability. My background includes multimodal AI research (CLIP, BERT), CUDA-based GPU optimization, and scalable backend development on AWS. I combine deep learning expertise with systems-level thinking, focusing on robustness, evaluation rigor, and performance optimization. I am particularly interested in applied LLM systems, multimodal AI, and building intelligent infrastructure that operates reliably at scale.

Pratham Gohil

I am a Machine Learning Engineer with hands-on experience deploying LLM-powered systems and high-performance AI solutions. I have built production-grade integration pipelines combining Python AST parsing and LLM-based code generation, reducing hallucination rates and improving API reliability. My background includes multimodal AI research (CLIP, BERT), CUDA-based GPU optimization, and scalable backend development on AWS. I combine deep learning expertise with systems-level thinking, focusing on robustness, evaluation rigor, and performance optimization. I am particularly interested in applied LLM systems, multimodal AI, and building intelligent infrastructure that operates reliably at scale.

Available to hire

I am a Machine Learning Engineer with hands-on experience deploying LLM-powered systems and high-performance AI solutions. I have built production-grade integration pipelines combining Python AST parsing and LLM-based code generation, reducing hallucination rates and improving API reliability.

My background includes multimodal AI research (CLIP, BERT), CUDA-based GPU optimization, and scalable backend development on AWS. I combine deep learning expertise with systems-level thinking, focusing on robustness, evaluation rigor, and performance optimization.

I am particularly interested in applied LLM systems, multimodal AI, and building intelligent infrastructure that operates reliably at scale.

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Experience Level

Expert
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Expert
Expert
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Intermediate
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Work Experience

Python Developer (LLMs, API Integration) at Commotion Software Solutions
January 1, 2025 - July 1, 2025
Developed a scalable integration framework converting n8n workflows to a production integration platform supporting 300+ third-party services (Amazon, Spotify). Designed a semi-automated conversion pipeline combining a custom Python AST parser with LLM-driven generation for dynamic functions; implemented prompt engineering and post-checks to reduce hallucinations by 28% in generated code paths. Improved API reliability and maintainability by introducing validation layers and test scaffolding for autogenerated integrations, reducing rollback incidents in staging.
AI Researcher at Odyssey Lab Cohort
January 1, 2024 - January 1, 2025
Led the development of a vision-language danger detection pipeline combining CLIP image embeddings and BERT text embeddings to score video risk; produced features used by downstream classifiers (SVM / regression). Curated and managed annotation effort with 18 evaluators to build a 100+ video multimodal dataset for safety applications. Implemented evaluation with K-Fold cross validation and improved model robustness through augmentation and Grad-CAM interpretability for actionable alerts.
AI Researcher at Next Tech Lab
September 1, 2023 - May 1, 2025
Researched and prototyped GANs, VAEs, and Vision-Language Models for multimodal tasks (VQA, image-text retrieval), implementing experiments in PyTorch. Implemented and benchmarked a research KAN prototype and other novel architectures; documented experimental results and led weekly technical seminars to upskill lab members on state-of-the-art methods. Focus areas: model compression, spline-based architectures, and methods for interpretability and uncertainty estimation.
iOS App Developer at ANS IT INDIA
July 1, 2021 - September 30, 2021
Built a BLE-enabled iOS application to track personal items; integrated secure identity management via Firebase Authentication and real-time sync. Implemented connection resilience and low-power BLE handling; wrote unit tests and onboarding documentation for client deployment.

Education

Master of Information Technology (AI specialization) at UNSW Sydney, Australia
January 11, 2030 - February 1, 2028
B.Tech in Computer Science Engineering at SRM Institute of Science and Technology, Chennai, India
August 1, 2021 - July 1, 2025

Qualifications

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Industry Experience

Software & Internet, Professional Services, Education, Media & Entertainment, Healthcare