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Tanweer Ashif

Mid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps

University at BuffaloUniversity at BuffaloBuffalo, NY5 Years ExperienceIntern LevelWorks On-Site

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About

Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.

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Key Strengths

  • Built production ML system for real-time competitor intelligence from messy e-commerce data (5,000+ SKUs)
  • End-to-end data pipeline development: scraping, deduping, normalization, feature engineering, and deployment via API
  • Trained and compared multiple ML models (9+ including Random Forest and XGBoost)
  • Deployed scalable services using Docker + Kubernetes (stateless FastAPI services, scheduled refresh/evaluation jobs)
  • MLOps discipline with MLflow experiment tracking and controlled model promotion via registry
  • LLM domain-grounding via task-specific dataset curation and fine-tuning; tuned temperature/top-p/top-k for factuality vs coherence
  • Handled privacy constraints for internal records with data scrubbing and restricted-access pipelines
  • Performance engineering for LLM workflows using deterministic templates, batching, and caching to keep latency under ~5 seconds
  • Strong stakeholder collaboration: translated non-technical marketing needs into metrics, dashboards, and usable daily tools

Reference Highlights

Strongly Recommended
  • took operation from nothing to a very robust product
  • calming presence
  • tolerant and easy to work with
  • kind and genuinely nice to work with
  • well liked by coworkers
  • well respected
  • patient when explaining technical topics
  • effective communicator with non-technical stakeholders
  • Excellent at translating non-technical requirements into working solutions
  • Strong collaborator; team worked seamlessly
  • Highly supportive; continues to consult and help new interns
  • Clear communicator of technical concepts to non-technical stakeholders
  • Went above and beyond
  • Reliable and deadline-driven (hit every deadline)
  • Effective under pressure; handled day-of issues successfully
  • Built a project designed to live on and be extended

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Experience

AI Research InternUniversity at Buffalo Business Services · Jul 2025 – Presentinternship
Data Science InternUniversity at Buffalo Business Services · Feb 2025 – May 2025internship
Data Analyst/Developer LeadUniversity at Buffalo Business Services · Oct 2024 – Feb 2025
Software Engineering AnalystRibbon Communications · Sep 2021 – Jan 2024
Senior Developer and AnalystCodebucket Solutions · Jun 2021 – Aug 2021
Developer and AnalystCodebucket Solutions · Feb 2020 – May 2021

Education

University at Buffalomaster, Business Analytics
Cochin University of Science and Technologybachelor, Information Technology

Awards

  • $10K Career+ innovation grant - University at Buffalo Business Services

Languages

English

Certifications

Statistics and R - Harvard UniversityBuilding GenAI Applications with MongoDBExplore and Analyze Data - TableauCertificate of Excellence | Top Performer | Data Structure and Algorithms - Coding Ninjas

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Connect with Tanweer

Tanweer already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Tanweer AshifMid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps