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KKUUNNSSHHSSIINNGGHH
KUNSH SINGH
NEURAL-ID:0xF72A4B
SYS.VER:9.42.X
DATA SCIENTIST
SYS.CLASS:DS.0428

MACHINE LEARNING SPECIALIST|

Passionate computer scientist with expertise in machine learning, data science, and natural language processing. Interested in neurocomputation and non-invasive brain-computer interfaces.

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y: 78.991.02
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ABOUT_SYSTEM

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v2.4.7

I'm a data scientist with strong expertise in machine learning and natural language processing, seeking opportunities to apply my skills in solving complex problems.

I'm passionate about fields like brain-computer interfaces and sensory perception modulation, with an interest in pursuing research opportunities in these areas.

My approach combines technical expertise with creativity, developing data-driven solutions that deliver meaningful insights with aesthetic presentation.

LOCATION
Northern VA
EXPERIENCE
3+ Years
STATUS
@Leidos
SPECIALTY
NLP, ML, Data Science, Python
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SYSTEM

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TIMELINE

Jul 2024 - PRESENT
Data Scientist
Leidos
Leading AI detection framework development and data visualization platforms with deep learning models.
KEY ACHIEVEMENTS
  • •Designed a fully functional AI detection framework prototype in just 9 days using Flask and TailwindCSS
  • •Created a reasoning module with LLM and RAG technology to visually highlight/explain AI-generated artifacts
  • •Won Leidos' 2024 Shark Tank Pitch Competition with "Best Pitch" presented to 5 VP judges
  • •Built a full-stack data discovery platform with FastAPI for visualizing time-series data
  • •Developed dynamic real-time visualizations updating every 30 seconds with over 10,000 data points from S3
  • •Conducted model similarity experimentation with PyTorch and TensorFlow/Keras on 30+ self-trained models
  • •Reduced debugging times for code issues by over 90% using generative AI
KEYWORDS
FlaskFastAPITailwindCSSTensorflowKerasPyTorchDockerCesium.jsAWS S3LLMRAG
Jan 2024 - May 2024
Teaching Assistant
UVA Advanced Software Development
Mentored students in software development principles and evaluated technical projects.
Aug 2023 - May 2024
Research Assistant
UVA Ultimate User Interface Lab
Researched VR interaction techniques and analyzed movement data for improved user experiences.
Jun 2023 - Aug 2023
Data Science Intern
Leidos
Created advanced NLP solutions for multilingual text processing and analysis.
KEY ACHIEVEMENTS
  • •Developed language classification system with spaCy for identifying text in multiple languages
  • •Created multilingual summarization capabilities supporting over 500 languages using Flask
  • •Implemented translation system (many to English) with RTG translation technology
  • •Built an application with BART and T5 English summarization options
  • •Generated ROUGE metrics with SummEval for evaluating summarization quality
  • •Optimized system to process multilingual paragraphs in 30 seconds without scaling
KEYWORDS
FlaskspaCyBARTT5NLPTranslationSummarization
Jan 2022 - May 2023
Research Assistant
UVA Omni-Reality and Cognition Lab
Applied computer vision to analyze user behavior in virtual environments.
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FEATURED_PROJECTS

Displaying recent work and technical demonstrations.
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Brain Scan Reconstruction
PROJECT_01

Brain Scan Reconstruction

Performed reconstruction on the FLAIR subset of the BraTS dataset using medical-diffusion with PyTorch Lightning and Hydra; trained VQ-GAN and latent diffusion model on a V100 GPU. Added BERT text-conditioning block onto model based on HCP dataset of 180 subcortical parcellations of 22 brain regions.
PyTorchLightningHydraDiffusionComputer Vision
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Five Nights at Wall Street
PROJECT_02

Five Nights at Wall Street

Gamified stock trading with a fast-paced simulation of 5 consecutive real trading days based on historic data. Built full stack with Flask to retrieve and cache 1-min resolution intraday stock data from a random ticker on the S&P 500 with StockVantageAPI. Won 'Best Financial Hack' in March 2024.
FlaskHighcharts.jsTailwindCSSAPIsStock Data
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Eye-Tracking Wheelchair
PROJECT_03

Eye-Tracking Wheelchair

Engineered iris-tracking script using OpenCV and NumPy, transmitting data over a TCP socket connection to an ESP32 microcontroller for a custom attachment to enable precise movement for motorized wheelchairs. Won 'Best Accessibility Hack' in February 2023.
OpenCVNumPyTCP SocketESP32Accessibility
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TECHNICAL_SKILLS

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COMPUTE.SYS

CORE COMPETENCIES

Python Development
95%
0
100
Rapid Prototyping
92%
0
100
API Development
90%
0
100
Research & Analytics
88%
0
100
Problem Solving
93%
0
100
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MACHINE LEARNING

Machine Learning
94%
0
100
LLMs & RAG Systems
92%
0
100
Neural Networks
90%
0
100
Knowledge Graphs
82%
0
100
Agentic Systems
91%
0
100
Computer Vision
86%
0
100
NLP & Transformers
93%
0
100

ML & AI LIBRARIES

TensorFlow
Keras
PyTorch
PyTorch Lightning
Scikit-Learn
Transformers
Hugging Face
Langchain
OpenCV
SpaCy
NLTK
NumPy
Pandas

FRAMEWORKS

FastAPI
Flask
Django
React Native
Node.js
Next.js
Phoenix
Kubeflow

UI LIBRARIES

React
Tailwind CSS
Vite.js
Highcharts.js
Cesium.js

TOOLS & TECHNOLOGIES

Git
GitHub
Docker
Kaggle
Hydra
AWS
Elasticsearch
JIRA
Confluence
Linux
Obsidian
Selenium
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CODE_LANGUAGES

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Python

EXPERIENCE: 5.5 YEARS
def analyze_data(data):
  return data.process()

C++

EXPERIENCE: 3 YEARS
template<typename T>
T analyze(T data) {
  return data;
}

Java

EXPERIENCE: 2.5 YEARS
public class Analyzer {
  public <T> T process(T data) {
    return data;
  }
}

C

EXPERIENCE: 1.5 YEARS
void* analyze(void* data) {
  return data;
}

C#

EXPERIENCE: 2 YEARS
public T Analyze<T>(T data)
{
  return data;
}

JavaScript

EXPERIENCE: 3.5 YEARS
const analyze = (data) => {
  return data.process();
}

TypeScript

EXPERIENCE: 1.5 YEARS
function analyze<T>(data: T): T {
  return data;
}

Elixir

EXPERIENCE: 0.5 YEARS
defmodule Analyzer do
  def process(data) do
    {:ok, data}
  end
end

HTML/CSS

EXPERIENCE: 7 YEARS
<div class="container">
  <h1>Title</h1>
</div>

SQL

EXPERIENCE: 1.5 YEARS
SELECT * FROM data
WHERE value > 100
ORDER BY timestamp;
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CONTACT_INTERFACE

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TRANSMISSION DETAILS

LOCATION

Northern Virginia

DIGITAL COMMS

bca2nk@virginia.edu

FREQUENCY

Available upon request

ALTERNATIVE CHANNELS

MESSAGE.SYS
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[KUNSH_S1NGH]
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