Ruchika Kaur
Senior Engineer @Konverge Ai
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WORK HISTORY
Senior Engineer @Konverge Ai
Nagpur, IN
At Konverge AI, I transitioned into applied AI engineering, working on real-world machine learning and LLM-based systems.Trained and built solutions using Python, Machine Learning, NLP, and Time Series modeling.Developed LLM-powered applications using LangChain and LlamaIndex.Designed agentic AI prototypes integrating reasoning (LLM), memory modules, and external tools.Implemented modular AI pipelines for experimentation, evaluation, and validation.Contributed to model assessment and performance optimization across multiple AI use cases.
EDUCATION
SRM IST Chennai
Master of Science - MS, Biotechnology
Rajeev Gandhi Centre for Biotechnology
PG Diploma, Bioinformatics and Computational Biology
OdinSchool
Data Science
SRM IST Chennai
BSc. Biotechnology, Biology, General
ABOUT RUCHIKA KAUR
I am a Clinical Data & AI professional with 4+ years of experience working at the intersection of real-world oncology data and intelligent systems.At 4baseCare, I worked extensively with complex clinical, genomic, and treatment datasets, transforming raw patient-level data into structured, analysis-ready insights. I led multiple client-facing data projects, contributed to the design and validation of AI-driven clinical decision tools, and played a key role in evaluating real-world data dashboards by identifying analytical gaps, data inconsistencies, and usability improvements.Driven by curiosity and problem-solving, I independently introduced Python-based automation into manual clinical data workflows — significantly improving accuracy, reducing turnaround time, and enhancing reproducibility.I’ve collaborated closely with cross-functional teams across IT, clinicians, and bioinformatics, mentored junior team members, and was recognized with awards such as “Data Detective of the Year” for analytical excellence and ownership.Currently expanding into AI engineering, I am building expertise in:• Python-based ML systems• NLP & Time Series modeling• LLM applications using LangChain & LlamaIndex• Agentic AI architecturesMy long-term goal is to bridge healthcare domain expertise with scalable AI solutions — enabling smarter, more efficient real-world evidence and clinical analytics systems.Open to opportunities in Healthcare AI, Real-World Data Strategy, and Applied Machine Learning.
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