Sooryadas K
As a Machine Learning Engineer, I am driven by a deep ambition for mastery, approaching complex challenges with a determined and logical mindset. I thrive on autonomous problem-solving, consistently applying a pragmatic, data-driven approach to deliver innovative and impactful solutions.
Experience
Machine Learning Engineer
Talrop · Mar 2025 – Present
ML Engineer
Talrop · Mar 2025 – May 2026
- Built and deployed an LLM-driven recommendation system that learns user preferences from likes, comments, and shares, improving feed relevance and user engagement across the platform.
- Designed and implemented a RAG-based AI tutoring system using LangChain and vector search, enhancing learner experience through personalized and curriculum-aligned responses.
- Reduced data acquisition costs by generating diverse synthetic training datasets using DeepSeek V3 API, accelerating model iteration cycles while maintaining training quality.
- Trained and optimized BERT and LSTM models on real and synthetic data, achieving ~87% accuracy and enabling reliable production inference.
- Productionized ML models on AWS SageMaker with automated retraining and scalable endpoints, improving system reliability and reducing manual ML operations.
- Implemented event-driven ML pipelines using AWS EventBridge to connect real-time application events with inference workflows, lowering latency and operational bottlenecks.
- Minimized LLM hallucinations by integrating ChromaDB-backed retrieval and traceable response grounding, increasing trust and consistency in AI outputs.
- Enabled multimodal AI interactions (text + image inputs) to support richer learning workflows, expanding platform capability and accessibility.
- Authored technical documentation covering ML architecture, APIs, and lifecycle workflows, improving CI/CD adoption and cross-team onboarding efficiency.
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Education
MSc, Mathematics
National Institute of Technology · 2024
Contact details
Contact details
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What drives their work
The Architect
You build robust, end-to-end machine learning systems that perform reliably in production.
Sooryadas's superpower
You excel at constructing and refining complex ML pipelines, ensuring their stability and efficiency from conception to deployment.
How Sooryadas works
You are best suited for teams focused on developing, deploying, and maintaining robust machine learning and AI systems in production environments.
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