Résumé

Basics

Name Chinar Dankhara
Label Student
Email chinardankhara@gatech.edu
Phone (470) 443-7987
Summary Atlanta based Computer Science and Econ nerd with interests at the intersection of AI, Digital Infrastructure, and Process Automation. I am currently a Master's student at Georgia Tech, and I am looking for full-time and internship opportunities in Software Engineering, and Data-related roles.

Work

  • 2023.09 - Present
    Undergraduate RA
    National Science Foundation
    Developing next generation knowledge graph encompassing all US research publications and authors - freely licensed and open to the public.
    • Led an initiative to consolidate the scientific output records and staff data for Georgia Tech and its HBCU partners
    • Developed an app offering a natural language interface to a bibliometrics database containing over 240 million items
    • Spearheading a migration effort to move backend database from proprietary license to open source
  • 2023.05 - 2023.08
    Software Engineering Intern
    NCR Corporation
    Delivered proptotype observability system to collect and analyse logs from the NCR self-checkout network consisting of over 1 million self checkout machines.
    • Designed an in-house data warehousing and automated analytics platform infrastructure, implemented using Azure
    • Implemented Grafana-based observability system to monitor SCO performance, analyzing over 20 million logs daily
    • Presented observability insights and product performance enhancement recommendations to the CEO and VP of IT
  • 2022.12 - 2023.04
    AI Engineering Intern
    Delta Airlines
    Developed a now-patented solution to improve accessibility of Delta gate services for non-English speaking passengers.
    • Ideated a speech AI-based application to enable seamless communication between people speaking different languages
    • Developed a full-stack prototype web app independently and presented it to the CTO and VP of Innovation
    • Co-authored a strategy report highlighting enterprise AI apps to optimize costs and outlining a plan to save $50 million

Education

  • 2023.09 - Present

    Atlanta, GA
    Master of Science
    Georgia Institute of Technology
    Computer Science
    • Computer Vision
  • 2020.08 - 2023.12

    Atlanta, GA
    Bachelor of Science
    Georgia Institute of Technology
    Computer Science
    • Algorithms
    • Combinatorics
    • Automata Theory
    • Machine Learning
    • Natural Language Processing
    • Interface Design
    • Ubiqiutous Computing
    • Research Methods

Leadership

  • 2023.09 - Present
    Cofounder; Head of Research
    Fintech @ Georgia Tech
    Leading Georgia Tech's premier Fintech community with engineering and writing projects in the Fintech space.
    • Led a team of 5 to develop 4 deeply researched articles on the Fintech space, from BNPL to Open Banking, garnering over 1400 unique reads
    • Chartered the club and inked a collaboration with Financial Services Innovation Lab at Georgia Tech
    • Represented the club at the 2023 AI & The Future of Finance Conference at Georgia Tech, that features speakers from Wells Fargo, Envestnet, and Invesco
  • 2021.06 - 2022.04
    Deputy Chief of Finance
    Student Center Programs Council
    Budgeted $440,000 for 60+ events for the largest student organization at Georgia Tech.
    • Reviewed and approved budget requests for ETC and Festivals event committees that organise the signature Homecoming and Spring Carnival events
    • Raised $65,000 in corporate sponsorships using a generic sponsorship package from partner companies like The Home Depot

Skills

Software Engineering / DevOps
AGILE
Git
Github/Gitlab
Jenkins
Confluence
VSCode
AWS
Azure
Docker
Flask
FastAPI
Grafana
Bash/Zsh
IntelliJ
Jira
Trello/Kanban
DrawIO
Miro
Postman
Playwright/Selenium
Jupyter
Programming/Scripting Languages
Python
Java
SQL (MySQL/Server/Postgres)
HTML
CSS
JavaScript
Node
R
C++
JSON
TOML/YAML
AI/ML
Regression models
Tree based classifiers
Gradient boosting
Convolutional Networks
Residual Networks
Recurrent Networks
Transformers
Transfer Learning
PEFT/LoRA Finetuning
Grammar Decoder
GGML/Local inference
AWQ/GGUF quantization
Langchain & LlamaIndex Orchestration
Vector databases
Neo4J
Retrieval Systems
Miscellaneous
Soldering
Laser cutting
Sensor fusion
Basic carpentry
DCF analysis
Fixed income securities valuation
Computer Organization
Graph Search Algorithms
Scientometrics
Genome Sequence Analysis

Languages

English
Native speaker
Hindi
Native Speaker
Gujarati
Native Speaker

Projects

  • ScholarWeb
    A next-gen web app to find research collaborators and explore literature faster for free.
    • Built on the OpenAlex dataset, a 240 million item bibliometrics database with an open license
    • Python Native app with Flask APIs and Streamlit. Uses React and CSS scripts to customise UI where Streamlit native features fall short
    • Low latency fuzzy search and autocomplete, with a natural language interface to the database
  • Evocal
    An automatic event scheduling app that scans your inbox to find and autopopulate your calendar
    • NextJS app with a mix of React and Python functions to deliver signup and delete functionality
    • Python functions with custom FlaskAPIs for all backend functionality to permit fast deployment on GCP Cloud Run
    • OpenAI GPT-4 used for event classification. GPT-3.5 + BNF Grammar Decoder used for event extraction
  • LocalWhisper
    An optimized speech to text transformer model capable of real-time transcription performance on CPU
    • Adapted from OpenAI Whisper and GGML whisper.cpp model for transcription and translation tasks
    • Quantized with GGUF to achieve 92% model compression with less than 3% in relative quality loss
    • Runs in low-resource settings with 700MB of storage and 1GB peak RAM use. Achieves Real Time Factor of 0.4.