Headline

MLE 3 @ Angel One

About

Seasoned AI/ML Architect and Physics PhD with extensive expertise in designing and implementing cutting-edge AI solutions across foundation models, computer vision, and quantum computing. Specializing in: - Architecture Design: Engineer scalable AI systems leveraging both foundation models (LLMs, Vision Models) and custom neural architectures for enterprise solutions - Innovation Leadership: Pioneered multimodal AI solutions combining language and vision models, achieving 90%+ accuracy in complex classification tasks - Research Excellence: Developed groundbreaking quantum computing algorithms using unsupervised deep learning, demonstrating 98% accuracy in many-body quantum systems - Production AI: Successfully architected and deployed large-scale AI systems for AML compliance, incorporating advanced NLP pipelines and vision-based document analysis Technical Expertise: - Foundation Models & Fine-tuning: GPT, BERT, ViT, DALL-E - ML Architecture: Distributed Training, Model Optimization, MLOps - Deep Learning: CNNs, Transformers, GANs, Attention Mechanisms - Infrastructure: Cloud-native AI Solutions, Containerization, API Development - Research: Quantum Computing, Scientific ML, Neural Network Design Currently focused on: → Designing modular AI architectures for enterprise-scale deployment → Integrating multimodal AI capabilities (text, vision, structured data) → Optimizing large-scale model training and inference pipelines → Building responsible AI systems with robust monitoring and governance Passionate about bridging the gap between cutting-edge AI research and practical business solutions while maintaining a strong focus on scalability, reliability, and ethical considerations in AI system design.

Location

Kanpur

AI stack

claude code

langchain

langgraph

langsmith

mcp

Work experience

Machine Learning Engineer 3 at Angel One, Jun 2026 - Present · 4 mos, Bengaluru, Karnataka, India

Senior AI Engineer Specialist at Esko, Jan 2026 - May 2026 · 5 mos, Remote

Senior AI Engineer at Tech9, Oct 2024 - Jan 2026 · 1 yr 4 mos, India, Senior AI Engineer Spearheading the development of an advanced conversational AI system that revolutionizes B2B communication and automation: ➢ Architected and implemented an enterprise-grade conversational AI solution using state-of-the-art Large Language Models (LLMs) that autonomously conducts complex business conversations, replacing traditional manual workflows ➢ Designed sophisticated dialogue management systems achieving 85%+ task completion rate in multi-turn conversations, handling complex business queries and information gathering with human-like interaction capabilities ➢ Engineered robust verification and validation pipelines ensuring 99% accuracy in critical information extraction, implementing advanced entity recognition and data validation frameworks ➢ Built scalable integration frameworks allowing seamless connection with existing enterprise systems, reducing manual intervention by 90% and enabling automated processing of high-volume business communications ➢ Implemented advanced monitoring and analytics systems to track conversation quality, task completion rates, and system performance, enabling continuous improvement of the AI model Key Technical Achievements: - Developed custom prompt engineering techniques increasing response accuracy by 40% - Implemented advanced context management systems for maintaining coherent long-form conversations - Created sophisticated error handling and fallback mechanisms ensuring business continuity - Designed scalable architecture handling 1000+ concurrent conversations Impact: - Reduced operational costs by 70% - Improved process efficiency by 85% - Achieved 24/7 service availability - Decreased average response time from hours to minutes Technologies: LLMs, Transformer Architecture, Natural Language Processing, Conversation Design, Real-time Processing, Enterprise Integration Patterns, Cloud Infrastructure

Machine Learning Engineer at The Alacer Group, Nov 2022 - Sep 2024 · 1 yr 11 mos, India, Led the development of cutting-edge AI solutions for financial intelligence and risk management, architecting end-to-end systems that revolutionized regulatory compliance and fraud prevention: ➢ Advanced Analytics Engine Development - Architected automated investigation platform using advanced LLMs and neural networks - Engineered systems analyzing millions of transactions daily with 99.9% uptime - Developed AI-powered risk scoring algorithms achieving 95% accuracy - Reduced manual investigation time by 85% through automated reporting - Implemented real-time monitoring systems with <3% false positive rate ➢ Natural Language Processing Innovations - Pioneered transformer architecture for media analysis, achieving 90% accuracy - Implemented semantic search reducing query time from hours to seconds - Developed NER models with 95% accuracy for entity identification - Created sentiment analysis engines for real-time risk evaluation ➢ Entity Resolution & Network Analysis - Designed matching algorithms achieving 98% accuracy in identifying relationships - Implemented graph neural networks for detecting hidden patterns - Reduced false positives by 75% through contextual analysis - Processed 10M+ records daily with sub-second response time ➢ Fraud Detection & Risk Management - Built real-time detection using GNN, transformers, and gradient boosting - Achieved 92% accuracy in pattern detection with 0.1% false positives - Implemented adaptive learning for evolving fraud patterns - Reduced investigation time by 70% through automation Technologies: - AI/ML: LLMs, Transformers, GNN, BERT, XGBoost - Infrastructure: Azure Cloud, Docker, Kubernetes - Data Processing: Spark, Kafka, ElasticSearch - Languages: Python, PyTorch, TensorFlow, FastAPI Impact: - Reduced operational costs by $2M+ annually - Improved investigation accuracy by 85% - Automated 90% of manual processes - Achieved compliance with 99.9% accuracy

Research Fellow at Indian Institute of Science Education and Research, Bhopal, Aug 2018 - Apr 2023 · 4 yrs 9 mos, Bhopal, Madhya Pradesh, India, During my tenure as a Senior Research Fellow pursuing a Ph.D. at IISER Bhopal, I delved deep into the intersection of quantum systems and advanced computational techniques: ➢ Breakthrough in Quantum Systems: I developed a pioneering unsupervised deep neural network algorithm, demonstrating an extraordinary 98% accuracy in deciphering many-body quantum systems. This work has redefined the computational approach towards understanding quantum mechanics. ➢ Resolving Long-standing Quantum Simulation Challenges: Through innovative application of state-of-the-art neural networks, I cracked the decades-old "Fermion Sign Problem." This monumental achievement not only showcased the immense potential of integrating deep learning with quantum physics but also resolved a challenge that eluded many experts in the field. ➢ Mastering Deep Learning Techniques: My research arsenal was fortified with deep learning methodologies, ranging from multi-layered perceptions and convolutional neural networks to the specialized realm of group convolutional neural networks and LSTMs. ➢ Diverse Computational Proficiency: Beyond the deep learning frameworks, my expertise spanned SQL and Python, enabling holistic data analysis and processing integral to my quantum research endeavors. ➢ Contribution to Quantum Physics & ML Interface: My unique approach, fusing quantum physics with machine learning, not only resulted in significant academic advancements but also illuminated a path for further exploration at this interdisciplinary crossroad. My journey at IISER Bhopal was marked by continuous innovation and exploration, positioning me at the forefront of quantum research and pushing the boundaries of what's achievable when merging quantum mechanics with computational brilliance.

Education

Doctor of Philosophy - PhD, Physics, Indian Institute of Science Education and Research, Bhopal

Master of Science - MS, Physics, Indian Institute of Science Education and Research, Bhopal