In the fast-evolving world of artificial intelligence, where data defines progress and innovation fuels transformation, Amogh Mishra Machine Learning Engineer stands as a symbol of curiosity, precision, and passion. Based in New York City, Amogh has carved a unique path through his relentless pursuit of building data-centric, intelligent systems that blend human understanding with machine efficiency.
Amogh’s journey is not just about algorithms and models—it’s about the deeper philosophy of learning from data to create meaning, value, and impact. His story is a powerful reminder that the true essence of technology lies not just in automation, but in amplifying human potential through insight-driven innovation.
Amogh Mishra: A Journey Rooted in Knowledge and Exploration
From an early age, Amogh Mishra displayed a natural curiosity for understanding how systems work and how technology could make them smarter. His academic foundation reflects this deep-seated curiosity. He completed his Bachelor of Engineering in Information Science from PES University, followed by a Master’s in Data Science from Columbia University, one of the world’s leading institutions in AI research.
During his time at Columbia, Amogh’s passion for machine learning and natural language processing blossomed. He co-organized the Knowledge Graph Meetup, bringing together brilliant minds from academia and industry to explore how structured knowledge could enhance machine understanding. Beyond his coursework, Amogh served as a Teaching Assistant, guiding graduate students in courses such as Personalization Theory and Application and Natural Language Processing. These experiences helped him refine not only his technical expertise but also his ability to communicate complex ideas with clarity and purpose.
Shaping the Future of Machine Intelligence
Over the years, Amogh Mishra Machine Learning Engineer has worked across diverse industries and research domains, from academia to fintech and beyond. His professional journey is a testament to his versatility, adaptability, and commitment to excellence.
At BNP Paribas’ AI Lab, Amogh developed advanced machine learning and NLP solutions to streamline financial transaction processes. His work focused on building intelligent systems capable of understanding, extracting, and analyzing information from unstructured financial data—transforming complex datasets into actionable insights.
Later, at SupportLogic, Amogh continued to push the boundaries of applied AI. His efforts centered on creating recommendation systems, entity extraction models, and relation extraction frameworks—systems that allowed machines to understand the nuances of human communication. Each project he undertook was a step toward creating more intuitive, responsive, and human-aware AI systems.
Today, Amogh serves as a Machine Learning Engineer at Orca DB, a cutting-edge database company in New York. At Orca DB, he focuses on building scalable, intelligent systems that optimize data retrieval, enhance performance, and empower organizations to leverage their data ecosystems efficiently. His work blends machine learning, deep learning, and information retrieval—fields that demand both analytical precision and creative problem-solving.
Amogh Mishra: Technical Excellence and Passion for Innovation
Amogh’s technical repertoire is as diverse as it is deep. His skills encompass Machine Learning, Natural Language Processing, Knowledge Graphs, Deep Learning, and Recommendation Systems. He is fluent in tools like Python, MySQL, and Linux, and brings a research-driven mindset to every challenge he undertakes.
But beyond the technical mastery lies something more profound—an unshakable commitment to continuous learning. Amogh actively keeps pace with the latest advancements in AI research, exploring topics like generative models, language representation, and graph-based reasoning. His goal is not merely to implement technology but to push the boundaries of what technology can achieve.
This curiosity-driven approach has also led him to contribute to open-source projects and maintain an active GitHub profile, showcasing his work in recommendation systems, NLP models, and AI-driven product development.
From Bengaluru to New York: A Global Journey in AI
Amogh’s professional experiences span across continents and companies—each chapter contributing a vital layer to his expertise.
His early career included impactful roles at Sprinklr, Cisco, and KENOME (acquired by Google), where he honed his skills in software engineering and machine learning. At KENOME, he contributed to developing systems that combined knowledge graphs with AI to enhance information discovery—a precursor to many modern intelligent systems.
He also undertook a Research Internship at the University of Auckland, where he collaborated on projects that explored data-driven insights in innovative ways. These global experiences enriched his technical understanding while fostering a global perspective on technology’s role in solving real-world problems.
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