Shrinath PS

AI Researcher

Bengaluru, Karnataka, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Self-taught Machine Learning Engineer with diverse skills.
Developed AI systems for healthcare monitoring.
Hands-on experience in data science and machine learning projects.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Healthcare and Data Science applications.

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Skills

Core Skills

Machine LearningAi DevelopmentData Science

Other Skills

Neural MLXcodeClassical Machine LearningEDASQLPandasPoultryResearch SkillsSwift (Programming Language)API DevelopmentMathematics for Data SciencePredictive AnalyticsRetrieval-Augmented Generation (RAG)Machine VisionRendering

About

Unconventional path: B.Tech in Poultry Technology → self-taught Machine Learning Engineer. Math, statistics, and learning algorithms have been a quiet obsession since childhood — the degree just happened to be in a different field. I read new research papers in AI/ML and poultry science every day, run small personal experiments out of pure curiosity, and genuinely enjoy going deep into how things work. Built everything from scratch, no bootcamp, no formal CS background. If you're in my DMs asking how I made this jump — honest answer: I'm still figuring that out too.

Experience

Aksraya health care

Machine Learning Researcher

Mar 2026 – Present · 1 mo · Hybrid

Currently developing an iOS-based on-device AI system for home healthcare monitoring, leveraging Apple’s Core ML and Vision frameworks to enable real-time patient activity and condition assessment without cloud dependency.

Neural MLXcodeMachine LearningAI Development

Adya

Software Engineer

Mar 2026 – Mar 2026 · 0 mo · Remote

Siam computing

AI/ML

Oct 2025 – Mar 2026 · 5 mos · Chennai, Tamil Nadu, India

Worked on a RAG-based clinical prescription analysis system with multi-model LLM orchestration, and independently (as a personal project) fine-tuned a vision-language model for single-shot prescription text extraction and structured clinical interpretation.

Guvi code camp srm

Data Science Trainee

Mar 2025 – Oct 2025 · 7 mos · Chennai, Tamil Nadu, India · On-site

Learned, practiced, and implemented multiple machine learning projects involving real-world datasets. Extracted large-scale structured data using SQL, followed by thorough data cleaning, transformation, and manipulation using Pandas in Python.
Performed exploratory data analysis (EDA) to uncover patterns, detect anomalies, and guide feature engineering decisions. Applied feature selection and transformation techniques to improve model performance and generalization.
Built and compared multiple machine learning models using cross-validation, evaluating them with metrics such as Accuracy, Precision, Recall, F1-score for classification tasks and R², RMSE for regression problems. Focused on interpreting results and selecting models based on performance stability rather than just peak scores.

Classical Machine LearningEDAData ScienceMachine Learning