class Akanksha:
seeking roles = "Software Engineer & Machine Learning Engineer"
education = "MSCS @ Columbia University (Dec 2026)"
current location = "New York, NY"
available = "Full-time SWE / MLE | Jan 2027"
currently = "SDE Intern @ Amazon"
previously = [
"Apple -> Software Development Engineer in Test",
"Deloitte USI -> Software Engineer Intern",
"Samsung R&D -> SWE Research Intern",
"Expedia Group -> Data Science Analytics Intern",
]
research = [
"IIT Jodhpur -> Research Intern",
"Georgia Tech vRA -> Research Assistant",
]
focus = [
"LLMs & RAG Systems",
"NLP & Generative AI",
"Backend & Distributed Systems",
"Medical Imaging & Computer Vision",
"Cloud-Native AI Infrastructure",
]|
RAG-powered financial analysis platform for SEC filings using LLMs, semantic retrieval, and document intelligence. |
Cloud-native deep learning training framework for resilient, cost-efficient GPU workloads on GCP Spot VMs. |
|
Alzheimer's MRI classification using DINOv2 embeddings and Kolmogorov-Arnold Networks for medical imaging research. |
High-performance parallel implementation of the Smith-Waterman algorithm for accelerated local DNA sequence alignment using OpenMP. |