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akankshadhar2/README.md

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Typing SVG


Open to Work

MSCS @ Columbia University  ·  Graduating Dec 2026  ·  New York, NY


✦ About Me

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",
    ]

🛠️ Tech Stack

Languages

Python Java C++ JavaScript SQL

ML / AI

PyTorch TensorFlow HuggingFace scikit-learn Keras LLMs RAG SpaCy

Backend / Cloud

FastAPI Flask Node.js AWS GCP React Angular

DevOps & Tools

Git Jenkins Jira Postman Selenium


🚀 Featured Projects

RAG-powered financial analysis platform for SEC filings using LLMs, semantic retrieval, and document intelligence.

RAG LLMs NLP FinTech

Cloud-native deep learning training framework for resilient, cost-efficient GPU workloads on GCP Spot VMs.

GCP Deep Learning Cloud Native GPU

Alzheimer's MRI classification using DINOv2 embeddings and Kolmogorov-Arnold Networks for medical imaging research.

Medical Imaging DINOv2 KAN Research

High-performance parallel implementation of the Smith-Waterman algorithm for accelerated local DNA sequence alignment using OpenMP.

C++ OpenMP Parallel Computing Bioinformatics DNA Analysis


📬 Let's Connect

LinkedIn Gmail GitHub


Graduating Dec 2026  ·  Available Jan 2027  ·  Open to SWE & MLE roles

@akankshadhar2's activity is private