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Principal Machine Learning Engineer @ FactSet Research Systems, Inc.
Visionary AI/ML Engineering Leader with 14+ years of experience architecting and deploying cutting-edge NLP solutions. Specialized in building enterprise-scale language models, search systems, and AI applications that drive business transformation. Expert in the complete ML lifecycle from research and development to production deployment. Core Competencies: Large Language Models • Pioneered domain-specific LLM pre-training and fine-tuning initiatives using RLHF • Optimized model performance through advanced techniques like parameter-efficient fine-tuning • Implemented production-ready LLM applications with focus on performance and cost efficiency Natural Language Processing Architected end-to-end NLP solutions including Question Answering Systems, Information Extraction, and Text Summarization • Developed sophisticated Named Entity Recognition (NER) and Entity Linking systems • Implemented advanced text analysis solutions including sentiment analysis, paraphrase detection, and document comparison Search & Retrieval Systems • Designed vector-based semantic search systems with state-of-the-art embedding techniques • Built scalable information retrieval systems using hybrid search approaches • Implemented intelligent query generation and auto-complete systems Cloud Architecture & MLOps • Designed and implemented serverless ML applications on AWS • Expertise in AWS ML stack: SageMaker, EC2, Lambda, Step Functions • Built automated ML pipelines for training, evaluation, and deployment
Indian Institute of Technology, Kharagpur
M.tech, Computer science and Data processing
N/A – Present
University College of Engineering(KU)
Bachelor's Degree, EEE
N/A – Present
FactSet
Principal AI/ML Engineer
October 1, 2024 – Present
Hyderabad, Telangana, India
FactSet
Lead AI/ML Engineer
October 1, 2016 – Present
Hyderabad, Telangana, India
IPsoft
R&D Engineer
June 1, 2014 – September 1, 2016
Bangalore
Oracle
Application Engineer
December 1, 2011 – June 1, 2014
ABB, Bangalore.
Software Development Engineer
September 1, 2010 – November 1, 2011
Bengaluru Area, India
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Generative AI with Large Language Models
EDX Alumni
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression from Software Development Engineer to Principal AI/ML Engineer at FactSet demonstrates long-term commitment and growth within an organization. The diverse project experience across different companies (ABB, Oracle, IPsoft, FactSet) and domains (process automation, enterprise applications, cognitive agents, financial tech) indicates adaptability and a broad technical interest. The continuous pursuit of certifications in cutting-edge AI topics like Generative AI and Deep Learning shows a proactive learning attitude, which aligns well with a culture of innovation and continuous improvement. The target role of ML Engineer aligns perfectly with the candidate's extensive experience and specialized skills.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a strong problem-solving aptitude, evidenced by implementing a spell checker 1000x faster than Peter Norvig's approach and designing complex systems like Table Stitching. The mentoring experience at Oracle suggests leadership potential and a collaborative mindset. The focus on scalable solutions implies an understanding of operational requirements and system robustness.