Sneh Shah

Machine Learning Engineer

Bengaluru, Karnataka, India2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building AI systems and enhancing ASR workflows.
Proficient in generative AI applications and data-driven solutions.
Strong academic background in Data Science with hands-on experience.

Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningData ScienceArtificial Intelligence (ai)

Other Skills

Fine TuningMachine ToolsGenerative AIDeep LearningTableauMicrosoft AzureComputer VisionMachine Learning AlgorithmsPandas (Software)Natural Language Processing (NLP)MongoDBStatistical ModelingLangChainLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)

About

I am an ML Engineer with a strong academic background in Data Science (M.Sc., Christ University; B.Sc., Gujarat University). I specialize in Machine Learning, NLP, and AI, focusing on transforming data into actionable insights. My experience includes building robust AI systems, enhancing ASR workflows, and creating generative AI applications using tools like ChatGPT, Finetuning Nemo and Inferencing Whisper. I’ve also published research on pneumonia detection and developed impactful projects like neural style transfer and recommendation systems. Let’s connect to explore innovative data-driven solutions! 🚀

Experience

2 yrs 1 mo

Total Experience

1 yr 3 mos

Average Tenure

10 mos

Current Experience

Nobroker.com

Machine Learning Engineer

Jul 2025 – Present · 10 mos

Salesken

2 roles

Machine Learning Engineer 1

Apr 2024 – Jul 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

Built a Retrieval-Augmented Generation (RAG) system to store and retrieve organizational data, enabling personalized, data-driven solutions and improving query resolution speed by 20%.
Developed a PII masking solution for identifying and protecting sensitive data using advanced techniques like pseudonymization, anonymization, tokenization, and truncation, ensuring compliance with data privacy regulations.
Engineered a proactive daily alert system for Slack to monitor ASR performance metrics, achieving a 30% reduction in system downtime and enhancing issue resolution processes.
Optimized and deployed the Whisper-ASR system on the Triton Inference Server, reducing latency by 25% and enhancing scalability for real-time applications.
Designed and implemented a Kafka Controller to manage message workflows efficiently, reduce data duplication by 15%, and ensure idempotency, improving system reliability and performance.

Fine TuningMachine ToolsMachine LearningData Science

ML Intern

Jan 2024 – Mar 2024 · 2 mos · Bengaluru, Karnataka, India

Open weaver

Virtual Internship in Generative AI

Jun 2023 – Jun 2023 · 0 mo · Remote

Developed a customized interface for Chat-GPT, acquiring hands-on experience in seamlessly integrating AI language models.
Utilized Open AI's Whisper and DALL-E tools to convert audio into visually generated images.
Applied deep learning algorithms and computer vision methods to detect and mark Deep-Fake images.

Generative AIDeep LearningArtificial Intelligence (AI)