About Me

Hello! I'm Naman, currently working as Machine Learning Engineer at Inpleo, I'm a graduate student (Masters) in Computer Science from University at Buffalo. I have a strong acumen for tech-products. I have 2 years of industry experience in developing APIs in multiple frameworks using languages such as Python and Java.
I'm comfortable programming in any language be it one you created.

Contact Details

Naman Khurpia
namankhurpia2@gmail.com
+1 716 259 5818
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Experience

Inpleo LLC

Machine Learning Engineer March 2024 - Present (FullTime)

Will update this once I have contributed substantially, just started in march :)

Python
Transformers (encoder & decoders)
LSTM
Azure


Eitacies Inc

Machine Learning Engineer Intern Aug 2023 - Present (Internship)

• Developed an NLP model to detect Racial Desicrimination in Text/speech/video, Achieved an accuracy of 87% for custom dataset.

• Created algorithm to detect facial features like anger, happiness, using OpenCV.

• Used multithreading to call OpenAI's Moderation API for classification.

Python
Transformers (encoder & decoders)
LSTM
Bi-LSTM
GPT-3
OpenCV
Huggingface


OneDataShare

Research Assistant January 2023 - May 2023 (Cloud Developer)

• Collaborated at Transfer Scheduler, facilitating transfer of terabytes of data from Google Drive, S3using Kafka and RabbitMQ.

• Implemented PKI secrets engine using Vault, enabling token management with fine grained ACL policies..

Java - Spring Boot
Vault
Kafka
RabbitMQ
AWS
Docker
Git


Tata Consultancy Services - Digital

Cloud Engineer - Spring Boot Microservices Angular Developer Aug 2020 - July 2022 (Fulltime)

• Developed an NLP model to optimally convert code from one syntax to another, finding ambiguities and resolution, Achieved an accuracy of 88% for Cobol to Java for over 10 million lines of code.

• Invented a script to map and create all different variables, removed multiple duplicated variables in project code.

• Migrated Western Union's money transfer solution from Cobol to Spring Java Microservice, re-designed and designed architecture of WillCallStore (WCSTOX) program's solution by collaborating with 10+ teams, transactions from 50+ countries.

• Developed WCSTOX Program from scratch, validates and stores all money order records in postgres and connecting data-stream Kafka, managing configurations of multiple Kafka topics, Devised common encryption layer for all user sensitive data.

• Steered team of 10 new developers and resolved task of stitching code piece by piece, reporting to higher management.

Java - Spring Boot
Angular 11
Kafka
Redis
Jenkins
AWS - Cloudwatch Logs
AWS - ElasticBeanStalk
Javascript
Typescript
SonarQube
Docker
Git


Tata Consultancy Services - Digital (Internship)

Cloud Engineer Intern 13 Jan 2020 to 15 May 2020 (Paid Internship)

Worked at CMA (Cloud Microservices Apification), building a large scale solution for a global enterprise, with server side load balancing

Java - Spring Boot
Angular 11
Kafka
Redis
Jenkins
AWS - Cloudwatch Logs
AWS - ElasticBeanStalk
Javascript
Typescript
SonarQube
Docker
Git

Infotek Solutions- Bhopal

Android Developer 4 April 2019 to 4 June 2020 (Paid Internship)

Worked on Gayatri Samaj App ( worked for Gayatri Mandir - All India project), allows users to meditate and perform different types of meditation, report generation using internal SQLite

Java - Android Native
Firebase
XCode
Cocoapods
Docker
Deployments
Git


Education

State Univeristy of New York at Buffalo

Masters of Science in Computer Science (specialization in AI) Expected - Dec 2023

CGPA - 3.83/4
Subjects done : Analysis of Algorithms, Natural Language Processing, Data Intensive Computing, Independent Study ,Reinforcement Learning ,Introduction to Machine Learning ,Modern Network Concepts


Vellore Institute of technology

Bachelor in Technology June 2020

CGPA - 8.49 out of 10
Top 5% of class in Objected Oriented Programming Courses and Java


Sagar Public School

Class 12th April 2016

Heigher Secondary ( CBSE ) - 89%

Check Out Some of My Works.

AdmitWise ( College Admissions portal for Universities )

Created an Admissions portal where we evaluated profiles to analyze applicant's documents like Resume, SOP, test scores and ranking them. Currently, being developed for School of Engineering and School of Management, processing application data in batches and gaining insights.

Currently guided by Prof Jinjun Xiong at University at Buffalo (August 2023 - present)

Python - NLP
React JS
Spring Boot
MVC Architecture
LSTM
Large DiBERTA (trained on our custom data)
GPT-3.5 turbo API
Project Image

EasyOpenAI - OpenAI API Build Tools

Designed Maven and Gradle build tools for Chatting, Moderation - OpenAI API, enabling asynchronous calling of all endpoints, Implemented multithreading support for Java. Featured APIs are - Chatting API (With my own documentation), Moderation API (with my own documentation) and Completion API. This Java library provides a convenient way to interact with OpenAI's API for both Moderation and Chat Completion and many more. The library encapsulates the necessary details, making it easy to integrate OpenAI's powerful models into your Java applications.

Launched and made code open sourced (March 2023 - present)

Java (Multithreading)
MVC Architecture
Spring Boot
Maven
Gradle
Project Image

Dall E Client App

An open-sourced Android App that allows content creators to generate images using OpenAI's - Dall-E API and post on social media, developed within 2 days following the launch of APIs. OpenAI's Dall E and Moderation API to check if the input text violates the OpenAi policy and generate image.

Launched and made code open sourced (March 2023 - May 2023)

Android (Native)
OpenAI API
MVC Architecture
Figma
Project Image

Scan JD (Scan Job Description)

Chrome extension that allows LinkedIn users to list out important details about the job. (sponsorship availability, minimum experience, key skills required for job)

Launched and made code open sourced (Jan 2023 - May 2023)

Javascript
React JS
Node JS
Python - NLP
LinkedIn API
Large DiBERTA
BERT
GPT-3.5 turbo API (multithreaded)
MVC Architecture
Project Image

Order ( Restaurant order management system )

Food order app in Restaurant, allows management of ordering food, from table to kitchen. QR based ordering system - for customers (User and restaurant owner) Developed an Android app for customers that allows placing order, make payments, reserve tables. Another android app for kitchen staff where they can see the items ordered and mark them as served.

Launched and made code open sourced (January 2022 - June 2022)

Android Native
Spring Boot
React JS
AWS
MVC Architecture
Jenkins
Project Image

Coneato ( Hypercasual Android Game )

Coneato is an Advanced version of our traditional XO, Coneato works on Machine Learning prediction algorithm (regression) and using reinforcement learning techniques, we have evaluated the outcomes.

Launched and made code open sourced (January 2020 - June 2020)

Android Native
Python
Flask
AWS
MVC Architecture
Project Image

Paper VIT ( Question paper supplier for VIT University )

Paper VIT is a question paper supplier app that allows student to view/ donate previous years question papers.

Launched and made code open sourced (January 2018 - June 2018)

Android Native
Flask
Django - Backend
MVC Architecture
Project Image

Easy ED ( Easy Education - Learn with Augumented Reality )

Paper VIT is a question paper supplier app that allows student to view and donate previous years question papers.

Launched and made code open sourced (January 2017 - June 2017)

Android Native
Flask
Django - Backend
Project Image


ACHIEVEMENTS

    •Mentor at Grace Hopper Conference (2023), Open-source contribution to NodeJS-core repository.
    •Administered workshop on Git and GitHub for Master & PhD students (2022) under guidance of Alina Vereshchaka.

    •Special Achievement Award (2021) - Got Employee of the Week Award during Award Sprint.
    •Events Head at Apple Developers Group(2016-2018), a VIT Chapter certified by Apple Developers University Program
    •1st prize at MLH Local-Hack day (2018) organized by DSC hosted by Github Developed an android app that recognizes human sentiments-(depressed or not) and suggests methods to overcome depression.
    •3rd Prize Winner at Hack4Cause (2018) Android app Development Competition in the field of Digital Image Processing via Augmented reality organised by IEEE-SSIT.
    •3rd prize at App Challenge (2018) An Android App Development Competition organized by ISTE, made an application to help the famers sell the crops directly to FCI.
    •2nd prize at Horizon (2018) Web-Dev Hack organised by ISTE, accompanied the team as a designer and Android Developer and converted the website into an app.



Get In Touch.

Would love to hear from you
email me at namankhurpia2@gmail.com

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