Howdy, I'm
Nikita
Combining Software Engineering and Data Science
to solve the world's most challenging problems.
About Me
Hi there! I am a Software Engineer (Forward Deployed) at Palantir in New York City. I create empowering software products, operationalize machine learning models & LLMs, and automate monkey work. Sometimes I solve the world's most challenging problems for companies, and other times I work on implementing my silly ideas.
When I am away from the screen, I usually go on hikes, play guitar, and read books. In my daily actions, I aim to be (1) curious, someone who constantly asks questions and researches new areas; (2) entrepreneurial, someone who takes a proactive stand in life and is not afraid of starting something new; and (3) mindful, someone who is aware of his choices and continuously reflects on consequences of his actions.
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Skills
Languages
Frameworks
Expertise
Other Skills
- Python
- HTML
- CSS
- TypeScript
- SQL
- R
- C
- React, Next.js
- Flask, Django
- Pandas & Numpy
- Matplotlib & Seaborn
- Tensorflow, PyTorch, sklearn
- Hugging Face Transformers, NLTK
- Data Structures
- Algorithms
- Large Language Models (LLMs)
- Machine Learning
- Computer Vision, NLP
- Causal Inference
- Linux
- Docker
- AWS EC2, S3
- Virtual Machines
- Snowflake
- Apache Airflow
Experience
Palantir
Software Engineer, Forward Deployed
Software Engineer, Forward Deployed
- Solving the world's most challenging problems for the most important institutions in the world. More details in my resume.
July 2023 - Current
New York City
New York City
University of Chicago, Globus Labs
Researcher & Software Engineer
Researcher & Software Engineer
- Developed a Serverless Federated Learning python library for experimenting with Federated Learning on edge devices. The paper was nominated for the Best Paper and Best Student Paper awards at IEEE eScience 2022 Conference. GitHub. Paper.
- Trained and deployed a Convolutional Neural Network across a network of edge devices to enable multi-staged real-time image processing. The codebase enables building serverless Edge-to-Cloud infrastructures in Python. Documented on Github.. Paper. Poster.
June 2021 - June 2023
Chicago, IL
Chicago, IL
Viasat Inc.
Software Engineering Intern
Software Engineering Intern
- Developed an internal sentiment analysis tool using Twitter/Slack APIs, Snowflake, SQL, Hugging Face, and Python to assess real-time performance of in-flight WiFi based on social media data, enabling proactive monitoring.
- Implemented an outlier detection model with Slack integration to alert teams of sudden drops in positive sentiment, facilitating prompt response.
- Automated deployment, reporting, and alerting using Docker, Apache Airflow, and PyTest, ensuring consistent and reliable operations.
May 2022 - August 2022
Carlsbad, CA
Carlsbad, CA
SandBox Network Inc.
Software Engineering Intern
Software Engineering Intern
- Developed a data-scraping algorithm in Python that outputs statistics about a YouTube channel’s engagement in promotions, thus helping the company decide on potential partnerships with creators
- Managed a team of 3 engineers by managing repositories, schedules, and offering peer-review to create a full-stack application
January 2021 - April 2021
Seoul, South Korea
Seoul, South Korea
Projects
LLM Quote Generator
Built a web application for generating quotes using Open AI's API, built with Next.js, React, and TypeScript.
React
TypeScript
Next.js
May 2024
Real-Time Camera Tracker with Raspberry Pi
Created a camera that tracks any person in the room. The system
detects people in the room using a Convolutional Neural Network,
does adjustments to where the camera should point using PID, and
turns the camera after the person by sending signals to a servo
via Raspberry Pi.
Raspberry Pi
Tensorflow
Python
March 2022
DCGAN for Bored Apes NFT
Designed and trained a DCGAN (Deep Convolutional Generative
Adversarial Network) for generating Bored Apes NFTs.
Tensorflow
Keras
Numpy
December 2021
ToolSwap: web application for exchanging tools
Designed and implemented the app's database in Django \& SQL.
Wrote tests for the database to optimize the team's workflow.
Worked in a team of 6 other engineers.
Django
SQL
Docker
Testing
December 2021
Carbon Emissions Predictive Model
Modeled CO2 levels from 1958 to 2021 using the Mauna Loa
Observatory data set. (1) Cleaned the data, (2) created Bayesian
statistical models with PyStan for the overarching trend,
seasonality, and noise, (3) made predictions for years 2021-2060,
and (4) evaluated the model's fit using autocorrelation plots &
posterior predictive checks.
Bayesian Inference
Hamiltonian Monte Carlo
PyStan
Pandas
Numpy
SciPy
Matplotlib
April 2021
Plagiarism Checker
Built a plagiarism checker using rolling hashing, Karp-Rabin
algorithm, and hash tables.
Hash Tables
Karp-Rabin
Python
April 2021
Modeling Cost of Basic Goods
Modeled price variation of 10 basic goods across 7 countries using
PyStan and Bayesian Framework. Inferred how product type, store
type, and location affect the price.
Bayesian Inference
PyStan
Pandas
Numpy
SciPy
Matplotlib
March 2021
Light-Sound Game
A simple light-sound game for training memory and attention.
JavaScript
HTML
CSS
March 2021
Causal Inference
Completed several projects in Causal Inference, using Genetic &
Propensity Matching, Synthetic Controls, Regression Discontinuity,
Fisher's Exact Test, and others.
R
ggplot2
dplyr
rgenoud
November 2020
Predicting Blight Ticket Payment
Cleaned the data and trained Logistic Regression and Random Forest
classifiers to predict if people will pay for their blight
tickets. Tuned the models using GridSearchCV and Cross-Validation
to achieve AUC ROC of 0.81.
Scikit-learn
Pandas
Numpy
Matplotlib
August 2020
COVID-19 Misleading Graphs Analysis - Article
Analyzed misleading graphs about COVID-19 and published an article
in Towards Data Science: 80k reads.
Excel
Medium
June 2020
Book Review Platform
Created a full-stack platform that allows users to browse through
a database of over 10k books, get information, and leave reviews.
Python
Flask
PostgreSQL
HTML
CSS
May 2020
Get In Touch
I am always open for a conversation, whether you want to discuss an
exciting opportunity, novel idea, or just want to chat!