CV

Education

• M.S. in Computer Science, 2024 - 2026 (Expected)
  • Amirkabir University of Technology (Tehran Polytechnic)
• B.S. in Computer Engineering, 2019 - 2024
  • Shahid Rajaee Teacher Training University, Tehran, Iran
  • Minor in Educational Psychology
• High School Diploma in Mathematics & Physics, 2015-2018
  • National Organization for Development of Exceptional Talents (Sampad)

Honors and Awards

• Computer Engineering Department Dean’s List
  • In all Semesters, except Fall 2021
• Member of Iran’s National Elite Foundation
• Ranked 636th Among More Than 144,000 Students
  • in the Math & Physics group of Nationwide University Entrance Exam
• Fully Funded Scholarship
  • from Shahid Rajaee University
• Accepted Qualification (Pre-Medal) Stage of Informatic Olympiad in Iran (2017)

Research & Work Experience

• Machine Learning Research Intern, June 2025 - August 2025
  • Google DeepMind, Remote, United States
  • Engineered the Speech-to-Retrieval (S2R) engine, a novel dual-encoder architecture that directly maps spoken queries to retrieval intent, bypassing ASR to solve cascade modeling error propagation.
  • Achieved S2R performance that approached the theoretical upper-bound MRR, demonstrating significant gains over the baseline Cascade ASR model across multiple languages.
  • Contributed to the system’s live deployment across Google Search and prepared the Simple Voice Questions (SVQ) dataset for open-source release.
• Research Assistant, May 2024 - Present
  • University of South Carolina, Remote
  • Advised by Prof. Pooyan Jamshidi
  • Developed symbolic math reasoning systems using transformers and sequence-to-sequence models for integration and ODE problems.
  • Worked on large-scale data generation pipelines and notation parsers for training LLMs in mathematical environments.
• Undergraduate Research Collaborator, January 2024 - May 2024
  • University of Waterloo, Remote
  • Advised by Prof. Yuntian Deng
  • Trained LLMs with implicit chain-of-thought reasoning via knowledge distillation from intermediate states (Paper In Submission).
  • Implemented dual-multiplication task models with internalized reasoning traces to minimize token length without sacrificing accuracy.
• AI/Software Engineer, 2023
  • Sanay Co, Remote
  • Led the design, development, and deployment of a proprietary Retrieval-Augmented Generation (RAG) system, leveraging LLM APIs via LangChain.
  • Architected a high-availability backend service (FastAPI) featuring user-authenticated memory via JWT and Redis, supporting dynamic, user-specific Agentic state.
  • Engineered advanced system mechanics, including prompt chaining, summarization, and robust fallback handling for production-grade performance.
  • Designed data infrastructure around custom Vector Store backends and relational databases for large-scale LLM applications.
• Research Assistant, 2021 - 2023
  • Shahid Rajaee University, Tehran
  • Advised by Prof. Hamidreza Shayegh & Prof. Ehsan Pazouki
  • Applied transfer learning with Faster R-CNN for detecting rice seedlings in UAV paddy field imagery (Paper Submitted to ECCV).
  • Designed CNN-based diagnostic tool for retinal disease classification (Paper Presented at National Conference on Machine Learning).

Technical Skills

• Languages: Python (Expert), C++, R, Bash
• AI/ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn, LangChain, OpenCV, CUDA
• Tools & MLOps: Docker, Kubernetes (K8s), Git, CI/CD, Apache Kafka, Google Cloud Platform (GCP), AWS, Sparks, Elasticsearch, Logstash
• Databases & Backend: Vector Databases (e.g., Pinecone/Faiss), PostgreSQL, Redis, FastAPI, MongoDB
• Concepts & Architectures: Agentic AI, Generative AI, RAG Systems, LLMs (APIs & Fine-tuning), CoT Reasoning, MLOps, Observability, ASR, Knowledge Distillation, Adversarial ML

Teaching & Mentoring Experience

• Head Teaching Assistant, Co-Instructor
  • Sharif University of Technology, CE 40153: Fundamentals of Programming
• Teaching Assistant
  • Sharif University of Technology, CE 40254: Data Structures and Algorithms
• Head Teaching Assistant, Co-Instructor
  • Shahid Rajaee University, CE 224E: Database Systems Concepts
  • Co-designed curriculum, wrote and taught lectures, managed team of 5-6 TAs.
  • Awarded for being in the top 5% of TAs in Department of Computer Engineering.
• Teaching Assistant
  • Shahid Rajaee University, CE 209N: Microprocessor and Assembly Language
• Teaching Assistant
  • Shahid Rajaee University, CE 252N: Automata Theories
• Teaching Assistant
  • Shahid Rajaee University, CS 121: Artificial Intelligence Fundamentals & Applications
• Volunteer Instructor
  • National Organization for Development of Exceptional Talents, Math & Informatic Olympiad
  • Taught 2 courses and additional lectures on mathematics and algorithms for national Olympiads.
• Students Mentored:
  • Mohammad Yasin Karami. BS. Topic: Understanding LLMs

Publications & Projects

For a complete list of publications and research projects, please visit my Publications page.

Languages & Standardized Tests

• Persian: Native Speaker
• Azerbaijani: Native Speaker
• English: Fluent
  • TOEFL iBT: 110/120 (Reading: 28, Listening: 27, Speaking: 30, Writing: 25)
  • GRE General Test: 322/340 (Verbal: 152, Quantitative: 170, Analytical Writing: 4.0)

Professional Development

• Contributor to open-source projects in machine learning