AI Engineer | Software Engineer | LLM & MLOps Researcher
Research Assistant @ Micro Electronics Research Lab (MERL)
LFX’25 Mentee @ RISC-V International

Open-source contributor focused on production-ready AI systems, LLM evaluation, and reproducible ML pipelines.

I’m an AI Engineer and Researcher working at the intersection of LLMs, MLOps, and open-source systems.
My work focuses on building reliable, testable, and deployment-ready AI pipelines rather than experimental-only models.

• 🧠 LLM evaluation & benchmarking (functional, syntactic, adversarial)
• 🛡️ Hallucination mitigation in private LLMs using GAN-based approaches
• ⚙️ Reproducible ML pipelines with CI/CD, logging, and SLA-aware validation
• 📊 RISC-V data & tooling for machine-readable specifications and verification

💡 I care deeply about making AI systems trustworthy in production.

• 🔹 Research Assistant — Micro Electronics Research Lab (MERL)
  Working on LLM evaluation pipelines, benchmarking frameworks, and RISC-V-related tooling

• 🔹 LFX’25 Mentee — RISC-V International
  Contributing to machine-readable RISC-V specifications, schemas, and CI validation pipelines

Python · Scala · Verilog · Java · Shell · JavaScript · HTML · CSS

PyTorch · TensorFlow · Hugging Face Transformers · GANs · LLM Evaluation
NumPy · Pandas · Scikit-learn

CI/CD · Docker · REST/gRPC · Logging & Monitoring · Reproducible Pipelines
Git · GitHub Actions · Linux · pytest

JSON · YAML · MySQL

🔗 https://github.com/merledu/ai4org

• Built a privacy-first ML pipeline to detect and mitigate hallucinations in private LLMs
• Designed a GAN-style generator/discriminator for hallucination detection
• End-to-end pipeline: ingestion → validation → reproducible training → containerized inference
• Integrated CI/CD, automated testing, and monitoring for production readiness

📌 Designed for enterprise and on-prem LLM deployments where reliability matters.

🔗 https://github.com/merledu/ArcheV

• Engineered a reproducible LLM benchmarking framework
• Standardized JSON I/O and CI-driven evaluation pipelines
• Validates functional and syntactic correctness to support deployment decisions

🔗 https://github.com/riscv-software-src/riscv-unified-db

• Maintained versioned YAML/JSON schemas for RISC-V tooling
• Implemented CI validation to ensure data integrity and observability
• Improved downstream reliability for tooling and ML pipelines

• 🎓 Linux Foundation Mentorship Program (LFX) 2025
• 🧪 Research Assistant at MERL
• 📊 Improved LLM benchmarking reliability by ~25%
• 🧠 Hands-on experience with LLMs, GANs, MLOps, and CI/CD
• 📝 Contributor to open-source and research-grade tooling

• 💼 LinkedIn: https://linkedin.com/in/shehroz-kashif
• 📧 Email: [email protected]

⭐ If you find my work useful, feel free to star a repository.
🤝 Open to collaborations in AI, LLMs, MLOps, and open-source systems.