CV
Professional Summary
Senior Data Scientist in Generative AI with extensive experience designing and optimizing multi-agent AI systems across industry and academia. Senior Ph.D. candidate (ABD) in Computer Science at NJIT, focused on large language models in data science, personalized recommendations, Agentic AI, and AI for healthcare. Recipient of multiple academic research awards recognizing excellence in AI and data science innovation. Research funded by NSF and ONR grants.
Education
New Jersey Institute of Technology, New Jersey, USA
Ph.D. Candidate (ABD) in Computer Science (Sep 2022 – Present)
GPA: 3.88 · Advisor: Dr. Senjuti Basu Roy
- Research Assistant in the Big Data Analytics Laboratory (BDAL)
- Successfully defended Ph.D. proposal on Personalized Recommendation and Top-k Set Retrieval using LLMs (2024)
- Proposed G-CLAHE, a novel method for medical X-ray image enhancement — order-of-magnitude improvement in image quality, 17% improvement in diagnostic accuracy for chest X-ray abnormality detection (IJPRAI, 2024)
- Designed a novel multi-agent LLM framework for personalized recommendation over multi-modal data — 45% speedup and 15–20× cost reduction vs. state-of-the-art
- Proposed a novel vision and framework for agentic collaboration of humans and LLMs in the data science pipeline
Iran University of Science and Technology, Tehran, Iran
B.S. in Computer Engineering (Sep 2018 – Aug 2022)
GPA: 4.0 · Ranked 4th nationally among universities in Iran (QS Ranking)
- Awarded Top Student of the Year among Computer Engineering students (2019)
- Focused on Data Structures, Algorithms, Machine Learning, and Deep Learning
- Developed GoNuts, a full-stack conversational chat application for Android
- Advanced Algorithms and Complexity Certificate — University of California, San Diego
National Organization for Development of Exceptional Talents (NODET), Tehran, Iran
High School Diploma in Mathematics and Physics (Sep 2014 – May 2018)
- Admitted among the top 0.07% of candidates nationwide through a competitive entrance exam
Experience
Senior Data Scientist — Generative AI
Exchange Robotics (Scalata.ai) · New York City (Sep 2025 – Jan 2026)
Part-time CPT Internship
- Developed a reasoning-driven Python financial agent for automated credit analysis using LangGraph-based orchestration
- Reduced manual analyst computation and validation time by 75% through optimized agent execution and tool chaining
- Built intent detection classifiers to route financial queries into correct LLM workflows
- Implemented multi-agent coordination with LangChain, LangGraph, and LangSmith for production-grade financial AI
- Designed a Knowledge Graph for Scalata Personalized Recommendation using AWS NeptuneDB
Senior Data Scientist — Generative AI
Exchange Robotics (Scalata.ai) · New York City (Jun 2025 – Aug 2025)
Full-time CPT Internship
- Designed an intelligent data lake supporting 24+ document types with fast vs. slow ingestion for scalable multimodal processing
- Integrated agentic reasoning for data cleaning and validation — 21% cleaner downstream datasets
- Built an end-to-end financial agent as the backbone of the Exchange Robotics Orchestration System
- Developed VectorDB-backed RAG pipelines for retrieval over heterogeneous financial documents
- Contributed to a multi-agent credit automation platform ranked Rank 19 in Top AI Hot 100
Research Assistant
New Jersey Institute of Technology (Sep 2022 – Present)
- Optimizing large-scale multimodal data science applications using ML models
- Developed novel LLM framework for personalized recommendation — 45% speedup, 15–20× cost reduction
- G-CLAHE: 17% improvement in diagnostic accuracy for chest X-ray abnormality detection
- Proposed novel framework for human–LLM collaboration in the data science pipeline
- Probabilistic package selection over multi-modal data using LLMs with optimality guarantees
- Research funded by NSF and ONR grants
Teaching Assistant
New Jersey Institute of Technology (2022 – 2024)
- TA/Mentor for Programming for Bioinformatics (BNFO135), CS113 (Instructor), CS101
Teaching Assistant
Iran University of Science and Technology (2019 – 2022)
- TA/Mentor for Computational Intelligence, Operating Systems, Artificial Intelligence, Algorithm Design and Analysis, Theory of Languages and Automata, Data Structures, Discrete Mathematics, Advanced Programming
Publications
Please see the Publications page for the full list.
Skills
Programming Languages: Python, C#, Java, C/C++
Machine Learning: TensorFlow, PyTorch, Scikit-learn, MLflow, Hugging Face, Transformers, Ollama, Groq
Large Language Models: LangChain, LangSmith, LangGraph, Multi-agent LLM Systems, RAGs
Deep Learning Architectures: CNN, RNN, LSTM, Transformer, VAEs, GANs
Data Science Tools: Hadoop, NumPy, OpenCV, Gym, Tableau, Matplotlib, Databricks
Database Management: SQL Server, PostgreSQL, SQLite, MySQL, Oracle, MongoDB, Redis, NeptuneDB
Cloud Platforms: AWS, Microsoft Azure, GCP
Project Management & Others: Scrum, Trello, CI-CD Pipeline, A/B Testing
Honors & Awards
- Graduate Research Assistantships — Merit-based university research funding for excellence in AI and Data Science (2022–2026)
- Panasonic Chair Research Award (2024–2025) — Contributions to predictive analytics and intelligent systems
- Rubric-Based Intelligence Research Award and Predictive Analytics Research Award (2025)
- Best Student of the Year — Computer Engineering Department, IUST (2019)
- Top 0.4% in Iran University Entrance Exam (2018)
- Accepted Presenter — North East AI Agents Day Workshop (May 2026)
- Presented PhD research — YWCC PhD Research Forum (Spring 2025)
- RCR Basic Course Certification — Coursera (Nov 2022)
- Advanced Algorithms and Complexity Certification — UC San Diego (Sep 2020)
- Algorithmic Toolbox · Algorithms on Graphs · Algorithms on Strings · Data Structures — UC San Diego (Apr 2020)
Teaching Experience
Please see the Teaching page for the full list.
Languages
- English: Full Professional Proficiency — TOEFL iBT: 107 (R:28, L:26, S:25, W:28) · GRE Quantitative: 170/170
- Persian: Native
- Spanish: Limited Working Proficiency