AI systems · backend · research software
AI Systems & Backend Engineer
Building reliable AI systems—from backend architecture to multi-GPU spectral computing.
MS in Computer Science from Case Western Reserve University with a 4.0 GPA. Working across AI infrastructure, backend architecture, GPU-accelerated computing, and research software.
01 / Selected work
A descriptor-resident multi-GPU spectral backend for PyTorch focused on correctness, autograd support, strict backend execution, and high-resolution Fourier-domain neural workloads.
Descriptor-resident execution designed to extend work beyond single-GPU memory limits.
Python · PyTorch · CUDA · cuFFT · MPI
Read case studyA tamper-evident verification and provenance layer for AI agents that decomposes output into atomic claims and produces signed, hash-chained verification receipts.
Verification receipts connect claim-level evidence, evaluation, freshness, and provenance.
Python · FastAPI · PostgreSQL · LLM/NLI · Pytest
Read case studyReusable backend architecture for AI workflows spanning sourcing, enrichment, evidence tracking, personalized outreach, meeting intelligence, and follow-up.
A modular-monolith approach with tenant boundaries, provider abstractions, and review gates.
Python · FastAPI · Go · PostgreSQL · LangGraph
Read case study02 / Technical focus
PyTorch, RAG, Graph RAG, LangGraph, LLM APIs, vector retrieval, structured workflows.
Python, Go, FastAPI, Django, REST APIs, SQLAlchemy, PostgreSQL, Cassandra.
CUDA, cuFFT, cuFFTXt, MPI, NVSHMEM, distributed FFTs, SLURM.
AWS, Docker, GitHub Actions, CI/CD, Linux, Git, ETL pipelines.
03 / Experience
Jan 2024 – May 2026
High Performant AI Systems Lab · Case Western Reserve University
Developed distributed AI and scientific-computing systems, including a multi-GPU Fourier backend beyond single-GPU memory limits. Designed correctness, autograd, backend-execution, capacity, and performance tests.
Python · PyTorch · C++/CUDA · MPI4Py · SLURM
Oct 2025 – Dec 2025
BUAI 446: Machine Learning and Artificial Intelligence for Business · Case Western Reserve University
Taught graduate-level machine learning and AI topics; designed lectures, programming exercises, and applied projects for technical and business-focused students.
PyTorch · deep learning · transformers · LLMs
Sep 2025 – Apr 2026
Decoupling.co
Designed modular backend architecture and RAG, Graph RAG, and LangGraph multi-agent pipelines with evidence-aware generation and human-review stages.
Python · FastAPI · Go · LangGraph
Aug 2021 – Jan 2024
Cognizant Technology Solutions — Johnson & Johnson MedTech
Built enterprise APIs and data-processing workflows; processed 8.5 million records in under 30 minutes. Built migration validation that reduced testing from more than 40 days to approximately 1.5 hours.
Python · FastAPI · SQLAlchemy · Cassandra · Redshift · AWS · Spark · Airflow
04 / Research and writing
Technical notes will appear here when public artifacts are ready. The current portfolio focuses on evidence-backed project summaries rather than unpublished drafts.
05 / About
Yash Malhotra is an AI systems and backend engineer with an MS in Computer Science from Case Western Reserve University and a 4.0/4.0 graduate GPA.
His work spans backend architecture, GPU-accelerated computing, distributed spectral operators, reliable AI workflows, and research-oriented software systems. He is especially interested in problems where mathematical correctness, system reliability, architecture, and implementation efficiency matter simultaneously.
M.S. Computer Science, Thesis Track — Case Western Reserve University, May 2026 · 4.00/4.00
B.E. Electronics and Communication Engineering — Birla Institute of Technology, Mesra, May 2021
06 / Contact