RAVI TEEJA K

IN.

Work

Gradehive AI

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Founding Software Engineer

Summary

GradeHive AI leverages advanced reasoning Large Language Models (LLMs) optimized specifically for coding and grading tasks. Our AI helps streamline assignment creation, evaluation, and feedback, saving educators valuable time where users can create their own criteria/rubrics for grading

Highlights

Led the complete development of the frontend and backend systems for the product along with integrating LLMs wherever needed. Stack - ReactJS, NextJS, LLM, OpenAI, MongoDB, GitLab, AWS.

Features include automatic bulk assignment creation and auto grading using AI using a rubric, supporting 10+ coding languages (.py, .cpp, .js, .java, etc.), Handwritten JPEGs, Docs & PDFs using OCR.

Our feature set includes grading textual/imagery tests (or) code/computer science assignment based tests (or) data science/jupyter notebook based tests, where the AI not only grades but also speaks about why it's graded that way and which piece of the answer adds up to that grade.

Tooljet, Open Source

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Software Engineer Intern

Summary

Platform for Internal Tools

Highlights

Led the complete revamp for Tooljet's workflows feature, which is the backbone of the Tooljet platform, and also managed the transition of this feature from beta to production, while swiftly resolving production bugs/critical issues and ensuring seamless functionality. This upgrade was pivotal in securing two major enterprise customers, highlighting its critical role in our product's success.

Contributed to both frontend(ReactJS, Redux,Typescript,ReactFlow, SCSS ) and backend( Python, FastAPI)

Actively responded to customer feedback by creating Proof of Concepts for feature requests and pushing them to production, demonstrating our commitment to innovation and customer satisfaction, and picked up Open Source issues and fixed them.

Hoppscotch, Open Source

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Developer Intern

Summary

Alternative to Postman

Highlights

Revamped the whole marketing website - used React.js and Vue.js, and also Python for Backend,

Represented the organization's DevRel expertise at conferences and events, solidifying the position as leaders in API Testing.

Used SQL & Python libraries like Numpy, Pandas, and Matlplotlib to perform exploratory data analysis and find insights on developer testing.

Awards

Pupil on Codeforces (1220)

Codeforces

Pupil on Codeforces (1220)

4th Position in Opin Hacks(MLH) - India Wide Hackathon

Opin Hacks(MLH)

Secured 4th Position in Opin Hacks(MLH) - India Wide Hackathon

3rd Position in GDSC WOW - India Wide

GDSC WOW

Secured 3rd Position in GDSC WOW - India Wide

Finished 5 levels of Google Foobar

Google Foobar

Finished 5 levels of Google Foobar

1st Position in Worthy Hack- India-Wide Hackathon

Worthy Hack

Secured 1st Position in Worthy Hack- India-Wide Hackathon

3 Star on Codechef (1695)

Codechef

3 Star on Codechef (1695)

Knight on Leetcode (1871)

Leetcode

Knight on Leetcode (1871)

Speaker - Google DevFest 2024, India FOSS, TestMu Conference.

Google DevFest, India FOSS, TestMu Conference.

Speaker - Google DevFest 2024, India FOSS, TestMu Conference.

Global Rank 1402 in Round A Google Code Jam 2023

Google Code Jam

Global Rank 1402 in Round A Google Code Jam 2023

Skills

Languages

Python, Javascript, Typescript, SQL.

AI

LLM APIs, Langchain, MCP ( Model Context Protocol ).

Frameworks

ReactJS, Redux, VueJS, NextJS, NodeJS, ExpressJS, FastAPI, Flask.

Databases

Firebase, Supabase, MongoDB, RDBMS ( MySQL, PostgreSQL, SQLite).

Miscellaneous

Data Structures & Algorithms, REST, Linux, Git & GitHub, Kafka( Basic ), OpenAI API, Gemini API, Open Source, Machine Learning & Deep Learning Frameworks, Exploratory Data Analysis..

Concepts

Computer Networks, Object Oriented Programming, Operating Systems, DBMS.

Projects

Chat system

Summary

Built a Chat system that allows you to chat directly with your MySQL Database using natural language (Stack includes Langchain, Python, LLMs)

Integrations b/w Claude Desktop and Brave Search & also Claude Desktop and TwentyCRM

Summary

Built integrations b/w Claude Desktop and Brave Search & also Claude Desktop and TwentyCRM to directly interact with these systems using Claude as a client using MCP ( Model Context Protocol ) (Stack includes Python & MCP )

npm package

Summary

Built an npm package https://www.npmjs.com/package/rt-feedback-email ( Open Source)

Tooljet Workflows ( Internal)

Summary

Tooljet Workflows ( Internal) : Automate complicated manual business processes with less engineering effort. Achieve better business outcomes with the enterprise grade workflow builder( https://www.tooljet.com/workflows) - ReactJS, ReactFlow, ExpressJS, SCSS,Redux, TypeScript.

Travalog

Summary

Travalog: Automated generation of travel plans based on days/location/people using AI

Poolpay

Summary

Poolpay : This application addresses the challenges of managing pooled funds for various purposes by offering four main features: pooling-loaning, pooling-spending, pooling-investing, and auto-documentation.

Spiking Neural Networks on the DVS Gesture 128 Dataset

Summary

Spiking Neural Networks on the DVS Gesture 128 Dataset : Spiking Neural Networks (SNNs) utilize discrete spikes to emulate biological neural communication. This study implements an SNN trained on the DVS Gesture 128 dataset using the snn Torch library. The network employs a single-layer architecture with Leaky Integrate-and-Fire (LIF) neurons, achieving 87.50% accuracy.

RAVI TEEJA K