AI / ML Engineer
About Candidate
The candidate is a highly skilled Machine Learning Engineer with over 5 years of experience specializing in Generative AI, traditional Machine Learning, and cognitive solutions development. They have demonstrated expertise in designing and deploying scalable AI and ML platforms across diverse industries, driving innovation and impactful outcomes.Their technical acumen spans advanced Generative AI tools such as LangChain, LiteLLM, LangFuse, and RAGAS, coupled with robust machine learning libraries like PySpark ML, Scikit-learn, and MLFlow. They have successfully managed end-to-end data science pipelines, including exploratory data analysis, feature engineering, model development, and deployment.
The candidate has delivered critical projects, such as developing a Generative AI platform for a pharmaceutical company that supported thousands of users daily, creating a sales forecasting engine that improved accuracy by 15% and reduced processing time by 85%, and building a recommendation system tailored for BFSI and Life Sciences domains. Their work reflects an ability to design solutions that meet high-performance demands and align with client-specific needs.They excel in cloud-based model deployment using platforms like AWS, Azure, and GCP, leveraging tools such as Docker and Kubernetes for containerization and orchestration. Their experience extends to handling large-scale datasets using Big Data technologies like Hadoop and Spark, as well as NoSQL databases such as MongoDB.
With strong programming skills in Python and proficiency in frameworks like Flask, FastAPI, and Django, they have built robust APIs and web applications. They also possess significant experience in statistical analysis, time-series forecasting, and building recommendation systems.The candidate has a proven track record of engaging effectively with clients, translating business requirements into technical solutions, and communicating complex concepts to both technical and non-technical stakeholders. They are recognized for their innovative contributions, earning multiple awards for their outstanding performance and mentorship initiatives.Their commitment to continuous learning is evident from advanced certifications in Generative AI, Azure AI, and Machine Learning, reflecting a strong drive to stay at the forefront of technology.