sameer.sameermir2195@gmail.com
Sameer Mir

Sameer Mir

Data Engineer. Pipelines, platforms, and practical AI.

MS Computer Science, CSUN 2024

I build trusted data platforms with Snowflake, Databricks, and Python. I’m interested in how reliable data and thoughtful evaluation make AI more useful.

Milpitas, California

About me

Data Engineer
at IBM

Current role IBMRAG Eval Workbench

I work at the intersection of data engineering and AI evaluation.

Tools of the trade38%

Higher retrieval accuracy
at Salesforce.

The work behind it

Always learning.
Always building.

MS Computer Science
California State University,
Northridge

Education & credentials
Enterprise AI Knowledge Platform

A little more
on paper.

Download resumeExplore RepoLens MCPAI Reliability Control Plane

More things
I’ve built.

Data tools, experiments,
and open-source projects.

All projects

A little about me

I’m a Data Engineer with 3+ years building ETL/ELT pipelines, cloud data warehouses, and lakehouse platforms. My work spans Snowflake analytics models, Databricks and PySpark processing, and governed data across 20+ source systems.

I care about what happens after a pipeline runs: whether people trust the data, whether the answer is grounded, and whether a system is easier to operate. I work with stakeholder teams on data contracts and ownership, and mentor engineers on performance and testing.

See what I’m working on

Experience

Data Engineer

IBM

Mar 2025 – Present
  • Architected Snowflake data warehouse and lakehouse-style analytics models across 20+ source systems, applying data modeling and schema design practices.
  • Implemented governed semantic models, automated data quality checks, and lineage tracking with freshness SLAs for trusted KPIs.
  • Engineered Python and SQL ETL/ELT pipelines for source-to-consumption validation and attribution modeling, increasing dashboard adoption by 45% and cutting manual reporting by 60%.
  • Defined reusable data contracts and governance standards to establish clear ownership across teams and reduce rework.
  • Served as the lead technical point of contact across 5+ stakeholder teams and mentored 3 engineers through Python/SQL design and code reviews.

Data Engineer

Salesforce

Mar 2024 – Mar 2025
  • Designed Databricks and PySpark ETL/ELT pipelines on distributed compute for RAG, model fine-tuning, and ML data workflows.
  • Improved retrieval accuracy by 38% and reduced inference latency by 27% through pipeline and model tuning.
  • Built MLflow-style evaluation automation and CI/CD release checks for GenAI pipelines, accelerating time to production by 80%.
  • Partnered with GenAI and engineering teams to productionize NLP workflows and embed retrieval-quality checks in the release lifecycle.
  • Optimized PySpark jobs through partitioning, caching, and cluster tuning to lower runtime and compute cost; documented architecture and evaluation methodology for new engineers.

Data Analyst

Deloitte

May 2023 – Feb 2024
  • Analyzed structured and unstructured datasets using SQL, Python, and Excel to identify trends and support business decisions.
  • Built Power BI and Tableau dashboards, reducing manual reporting effort by 30–40% and enabling real-time KPI tracking.
  • Cleaned, transformed, and validated data using SQL and Excel, improving data accuracy by 25% across business reports.
  • Collaborated with cross-functional teams to gather requirements and deliver insights, improving operational efficiency by 15–20%.
  • Supported ETL workflow development and data integrity monitoring alongside ad-hoc analysis and reporting.

Tools of the trade

Data Engineering

ETL/ELT pipelines · Data modeling · Star & snowflake schemas · Data warehousing · Data lake architecture · dbt · Data quality · Governance · Partitioning · Lineage & metadata

Big Data & Databases

PySpark / Spark · Databricks · Snowflake · PostgreSQL · Apache Flink · Distributed processing · Batch & near-real-time pipelines · Kafka streaming concepts · Airflow orchestration concepts · NoSQL concepts (MongoDB / Cassandra)

Programming

Python · SQL · FastAPI · JavaScript / TypeScript · LangChain · LlamaIndex · PyTorch

AI & Retrieval

RAG · Semantic & hybrid search · Embeddings · Ranking & relevance tuning · LLM evaluation · NDCG / MRR · Precision@k · Hallucination & grounding checks

Cloud & Delivery

AWS · Azure · GCP concepts · Kubernetes / AKS · Infrastructure as Code principles · Docker · CI/CD · Observability · Monitoring & release checks · AI-assisted engineering

Analytics & Collaboration

Power BI · Tableau · Excel · Stakeholder management · Technical communication · Data contract ownership · Mentoring · Agile delivery

Learning, always

Education

MS Computer Science

California State University, Northridge

Jan 2022 – May 2024

BTech Computer Science

Kalinga Institute of Industrial Technology

Jul 2017 – May 2021

Certifications

  • Databricks Fundamentals
  • AI Software Developer — micro1
  • AWS Cloud Practitioner
  • TensorFlow Developer Certificate
  • Evaluating and Debugging Generative AI
  • Finetuning Large Language Models
  • LangChain for LLM Application Development