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β B.Tech CSE β AI & ML β CGPA 9.59 β Applied AI β Open to Internships 2026 β
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| Iβm an AI/ML engineer who transforms cutting-edge research into real-world, deployable solutions. Over the past 2 years, Iβve built production ML pipelines, intelligent agentic AI systems, and AI-driven products across environmental science, data extraction & processing, and real-world bike rental demand prediction β not just prototypes, but tools that solve tangible problems. I thrive on challenges that push me to learn and innovate, and I aim to build systems that handle the trade-offs real-world applications face with elegance and efficiency. Iβm seeking an internship where I can deliver meaningful impact from day one while growing toward becoming a leader in AI and agentic AI systems. |
class Samruddhi:
Role = "AI Engineer"
Exp = "2 years Applied AI"
CGPA = 9.59
Strengths = [
"End-to-end ML pipelines",
"Agentic AI & LLM-based systems",
"RAG (Retrieval-Augmented Generation) pipelines",
"Data extraction, cleaning & analytics",
"Real-world forecasting & prediction models",
"FastAPI, Streamlit & Docker deployment",
"Production-ready ML system design",
"Cross-domain AI applications (Environmental Science, Education)",
"Rapid prototyping & iterative improvement"
]
Status = "π¬ Open to internships and project collaborations" |
|
πPublished Research Paper On Deep Learning Approaches for Ocean Waste Detection: A Comparative Study of YOLOv8 and Faster R-CNN |
π Deployed 3 live production apps & APIs |
If you're working on interesting ML, data, or applied AI problems β I'd love to connect.
