Abhishek Dabas
Senior Manager Data Scientist @Fidelity Investments
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WORK HISTORY
Senior Manager Data Scientist @Fidelity Investments
EDUCATION
Northeastern University
Master's degree, Information Systems
Amity University
Bachelor of Technology, Computer Science
ABOUT ABHISHEK DABAS
Research engineer with 4+ years designing and developing autonomous agent systems and LLM applications. Specialized in architecting multi-agent frameworks, and information retrieval using Claude 3.5 and Llama 3 for enterprise document processing and financial data extraction. Expert in designing planning algorithms, production-scale systems for complex task reasoning, RAG architectures, and agent evaluation frameworks that reduced processing time by 50% while achieving 91% task completion on complex information retrieval workflows. Demonstrated success building production-scale systems that orchestrate end-to-end document analysis for 100k+ monthly documents with measurable performance improvements.What drives me: Transforming cutting-edge machine learning research into production AI systems that deliver measurable business impact. I\'m passionate about building agentic AI that learns and adapts, while leading teams through complex technical challenges that drive organizational transformation.Currently exploring: Multi-agent orchestration with dynamic memory systems and autonomous decision-making frameworks in enterprise environments. I\'m researching how LLMs can autonomously plan, execute, and optimize complex workflows while maintaining enterprise-grade reliability and compliance.My skill set:AWS & ML Pipelines: Expertise in Amazon SageMaker (training, deployment, tuning), Bedrock Services, Lambda, Step Functions, and end-to-end ML orchestrationGenerative AI: Skilled in prompt engineering, fine-tuning/deploying LLMs and SMLs, and building AI agentsAI Frameworks: Proficient in LangChain and custom AI integration frameworksMachine Learning: Keras, TF, PyTorch, LIME & SHAP, Regression, Time-series analysis, Hypothesis Testing in pythonData Types: Financial data, Unstructured text & Images, Time-series dataCloud & MLOps: AWS SageMaker, Lambda, Step Functions, ML pipelinesProgramming Languages: Python, R, SQL, JavaStatistics & Methods: Regression & Classification,Generalized Linear Regression, Regularization (Lasso & Ridge), Decision Trees, Bayesian Statistics, Random Forest, SVM, Hypothesis TestingDatabases: MySQL, Microsoft SQL Server, Oracle 11g, Mongo DB, Oracle SQL DeveloperBusiness Intelligence Tools: Tableau, Power BI, Talend, SSIS, H20.ai, QlikIDE/ Version Control: Jupyter Notebook, Toad data modeler, GitHub, Bit Bucket
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