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CV

Contact Information

Name Tanzim Hossain Romel
Email tanhromel@gmail.com
Location Edmonton, Alberta, Canada
Website https://tanzimhromel.com

Professional Summary

I'm Tanzim Hossain Romel, an M.Sc. student at the University of Alberta, a former Software Development Engineer at IQVIA, and a BUET CSE graduate My research interests are AI4SE, AI for SRE, LLM4Coding, trustworthy AI, and long-horizon coding agents

Education

  • Sep 2026 – Present
    M.Sc in Computing Science
    University of Alberta
    • Started the M.Sc in Computing Science program on September 1, 2026. My research interests are AI4SE, AI for SRE, LLM4Coding, trustworthy AI, and long-horizon coding agents. I am part of the U-A-Goose software engineering group at the University of Alberta, supervised by [Dr. Zhou Yang](https://apps.ualberta.ca/directory/person/zy25), with affiliation to [Amii (Alberta Machine Intelligence Institute)](https://www.amii.ca/).
    • Current coursework: Human-AI Interaction and Formal Verification. I share my paper readings and course projects in [blog posts](/blog/).
  • Apr 2018 – May 2023
    B.Sc in Computer Science and Engineering
    Bangladesh University of Engineering and Technology
    • April 2018 - May 2023
    • Dean's List Award - Level 2 (outstanding academic performance). Notable Courses: Machine Learning, High Performance Database Systems, Fault Tolerant Systems, Data Structure and Algorithms, Operating Systems, Computer Security
  • 2015 – 2017
    Higher Secondary Certificate (HSC)
    Rajshahi College
    • Placed 15th in Rajshahi Board, received Talentpool Scholarship, A+ in all subjects with 96.5% marks in Physics, Chemistry, and Higher Mathematics
  • 2007 – 2015
    Secondary School Certificate (SSC)
    Rajshahi Collegiate School
    • A+ in all subjects, received General Scholarship

Experience

  • Sep 2026 – Present
    Graduate Teaching Assistant (GTA)
    University of Alberta
    • Since September 1, 2026. Department of Computing Science.
    • Teaching assistant for CMPUT 174
    • Support University of Alberta teaching through a GTA appointment
  • Sep 2026 – Present
    Graduate Research Assistant (GRA · GRAF)
    University of Alberta
    • Since September 1, 2026. M.Sc. student in Computing Science supporting graduate research in software engineering and dependable AI.
    • Graduate research with the U-A-Goose software engineering group under Dr. Zhou Yang
    • Support University of Alberta research through a GRA appointment with GRAF funding
    • Technologies: Graduate Research, Software Engineering, Dependable AI
  • Jun 2026 – Aug 2026
    Remote Research Intern
    UIUC
    • June–August 2026. Remote summer research internship at the University of Illinois Urbana-Champaign through UIUC++ Summer Research in Software Engineering (SRSE) 2026 with Professor Tianyin Xu's group, focused on software and systems reliability research.
    • Curated real-world postmortem reports into reproducible SRE benchmark problems on SREGym, weighing realism, reproducibility, cost, and utility
    • Worked on software engineering research with an emphasis on reliable systems and rigorous empirical evaluation
    • Read systems and software reliability literature, prototyped research ideas, and prepared artifacts for reproducible evaluation
    • Technologies: Software Engineering Research, Systems Reliability, Empirical Evaluation, Reproducibility
  • Jun 2023 – Jun 2026
    Software Development Engineer 1
    IQVIA
    • June 2023–June 2026. Backend engineer on IQVIA's KPI Library, the dynamic reporting layer within Orchestrated Analytics, working across configuration, dashboard, analysis, and export workflows for healthcare analytics. Built and maintained C#/.NET services, data-access components, automated test infrastructure, and a schema-grounded AI copilot with supporting evaluation, retrieval, security, and observability infrastructure.
    • Built and maintained C#/.NET services and shared components across four KPI Library workflow areas—configuration, dashboard, export, and gateway; used EF Core with SQL Server for configuration data, MongoDB for dashboard caching, and AWS S3 in export workflows
    • Refactored repeated filter-resolution logic into reusable query components, consolidating 6 duplicated implementations into 2 shared components; centralized validation and business rules and added regression scenarios for combined filters and edge cases
    • Added in-memory caching to targeted .NET read paths and improved interaction with the MongoDB-backed dashboard cache, reducing MongoDB reads per warm request from 4 to 1 and p95 latency from 420 ms to 340 ms across 500 equivalent warm requests per benchmark run
    • Extended two export paths—CSV and presentation exports—with regional-formatting and commentary support; increased automated high-risk export scenarios from 28 to 46 and reduced pipelines requiring a flaky rerun from 12 of 100 to 4 of 100 comparable export-test runs by controlling fixtures, locale, and browser state and normalizing volatile file metadata before hashing stable content
    • Implemented server-side axis-break resolution for KPI charts by computing adjacent gaps in ordered KPI values and translating qualifying intervals into Highcharts yAxis.breaks, keeping visualization behavior consistent across clients
    • Reorganized three CI stages, build, test, and packaging; ran independent test suites in parallel and reused build artifacts between stages, reducing median successful-pipeline duration from 24.5 to 20.3 minutes across 25 comparable runs before and 25 after the change
    • Contributed OpenTelemetry/Jaeger instrumentation and correlation identifiers across 8 named API, database, and cache operations in three workflow areas—dashboard, configuration, and export—making cross-service calls and database latency visible during debugging
    • Designed a schema-grounded dashboard copilot that compiled analyst requests into versioned, permission-scoped operations for KPI selection, filtering, comparison, visualization, commentary, and export; validated and previewed each plan before approval, executed it idempotently with concurrency and rollback safeguards, then verified the final state and recorded an audit trail, improving exact requested-state completion from 65% to 87% and reducing invalid committed changes from 8.1% to 0.9% on a 350-workflow held-out subset of the agent benchmark
    • Built a 400-workflow agent evaluation platform with trace replay, deterministic state and business-rule graders, numerical and export assertions, human-calibrated narrative scoring, multi-trial execution, and CI release gates; caught more than 20 prompt, model, retrieval, and tool-schema regressions before rollout and reduced candidate-model qualification from five days to one
    • Developed an evidence-grounded KPI investigation assistant combining deterministic calculations, anomaly detection, hierarchical driver analysis, and source-linked narratives; increased numerical claims matching computed evidence from 91% to 98.7%, reduced unsupported analytical statements from 12% to 3%, and cut median investigation time from 13 to 7 minutes on an expert-reviewed task set
    • Built a policy-enforcing execution gateway with capability-scoped authorization, tenant and market propagation, sensitive-data redaction, approval workflows, untrusted-content isolation, and immutable provenance; observed zero unauthorized executions across 5,000 adversarial cases while keeping benign-task false blocks below 2%
    • Developed tenant-, permission-, and version-aware hybrid retrieval over KPI definitions, calculation rules, dashboard templates, and operational knowledge using lexical and embedding retrieval, reranking, effective-date filters, structured lookups, versioned citations, and calibrated abstention; improved Recall@5 from 0.76 to 0.93, citation precision from 84% to 97%, and reduced stale KPI explanations from 12% to 3% on a held-out retrieval evaluation
    • Built an observable, provider-neutral model gateway with versioned prompts and models, complexity-aware routing, scoped caching, cost budgets, bounded retries, circuit breakers, fallbacks, shadow evaluation, and end-to-end AI traces; reduced p95 validated-response latency from 17 to 9 seconds and cost per successful workflow by 42%, while keeping candidate-model task success within one percentage point of the baseline model
    • Received the IQVIA Impact Program - Silver award in May 2025
    • Technologies: C#, .NET Core, EF Core, SQL Server, MongoDB, AWS S3, Highcharts, LangGraph, LangChain, MCP, RAG, Playwright, Jaeger, OpenTelemetry, GitLab CI
  • Apr 2021 – Nov 2021
    Full Stack Engineer
    Mindshare Bangladesh (Part-time)
    • April–November 2021. Built an e-commerce aggregator platform that let brands promote products by pulling listings from multiple e-commerce sites across Bangladesh.
    • Built a web scraping system with Scrapy that collected product data from about 20 major e-commerce platforms in Bangladesh
    • Deployed and maintained the scraper as a ScrapyRT server on DigitalOcean, enabling real-time extraction via API endpoints
    • Built the backend with Express.js and MongoDB to manage, process, and aggregate product data from the scraper
    • Created APIs for brands to host ads and integrate with the aggregated data
    • Optimized database queries and caching to handle large volumes of product data
    • Technologies: Python, Scrapy, ScrapyRT, Express.js, Node.js, MongoDB, DigitalOcean, REST APIs, Web Scraping, Data Aggregation

Honors & Awards

  • Nov 2022
    2nd place, Bangla Handwritten Digits Recognition contest
    BUET (Department of CSE)
    • November 2022. Placed 2nd of 120 students with a from-scratch NumPy CNN at 95.9% NumtaDB test accuracy.
  • Apr 2021
    Finalist, Blockchain Olympiad Bangladesh 2021
    Bangladesh Blockchain Olympiad
    • April 2021. Selected among 40 national finalists for a blockchain ticketing platform with smart-contract validation.
  • Dean's List Award
    BUET
    • BUET Level-2. Recognized for Level-2 cumulative GPA of 3.75 or higher out of 4.0.
  • 2017
    Bangladesh Physics Olympiad (BdPhO) National prize winner
    Bangladesh Physics Olympiad
    • 2017. National prize in the BdPhO selection path for the International Physics Olympiad.
  • 2017
    Bangladesh Chemistry Olympiad National prize winner
    Bangladesh Chemistry Olympiad
    • 2017. National prize in the Bangladesh Chemistry Olympiad selection path for IChO.
  • 2017
    Talentpool HSC Scholarship
    Rajshahi Education Board
    • 2017. Merit scholarship for placing 15th in the Rajshahi Board HSC results.
  • May 2025
    IQVIA Impact Program - Silver
    IQVIA
    • May 2025. Silver recognition for delivery on critical KPI Library work and product improvements.

Skills

Languages & Systems: Rust, C#/.NET Core, C++, Go, Java, Shell
AI & Agents: Python, LangGraph, MCP, RAG, PyTorch, LLM Evaluation
Web & Backend: TypeScript, Node.js/Express, React/Next.js, Microservices, REST APIs, EF Core
Data & Storage: PostgreSQL, MongoDB, SQL Server, Oracle/PLSQL, DynamoDB, SQLAlchemy
Cloud & DevOps: AWS, Docker, Kubernetes, Terraform, GitHub Actions
Security & Research Tooling: CodeQL, Semgrep, Bandit, YARA, Z3, Solidity/Web3
Soft Skills: Team Leadership & Mentorship, Strategic Problem-solving & Critical Thinking, Technical Communication & Documentation, Cross-functional Collaboration, Proactive Initiative & Ownership, Continuous Learning & Adaptability, Performance-driven Mindset, Research Methodology & Analysis, Time Management & Prioritization, Quality Assurance & Attention to Detail