Vijay Ram Enaganti

VRE

user@profile:~$ cat profile.txt

< welcome to my grid >

[NAME]Vijay Ram Enaganti

[LOCATION]Riverside - California - United States

[EXPERTISE]AI | ML Engineering - Software Engineering - Data Science & Engineering

[WORK STATUS]Authorized to work in the USA - F1 visa with 3 years of OPT remaining

[DESCRIPTION]

WELCOME TO THE GRID. I am Vijay Ram Enaganti, an AI and ML Engineer with a passion for pushing the limits of what can be done with AI. With extensive experience in AI, Software Engineering, Data Science & Engineering, I specialize in creating innovative solutions that leverage artificial intelligence to solve complex problems. Explore my portfolio to discover my projects, skills, and the impact I aim to make in the tech world.

[SIDE HUSTLES]

•Open Source Contributor - Actively contributed to Sktime library on GitHub

•Brainstorm AI App Ideas - VisionX and AgileBot are outcomes of such brainstorming

•Exploring latest and new AI tools and frameworks to build innovative applications

[INTERESTS & MUSIC]

•Badminton and Cricket Player (PS: I am a bit rusty now. A tad bit of warmup needed!)

•Building side projects with new tech stacks - like this portfolio!

•Cooking and experimenting with AI generated recipes

•Spotify Playlist: [My Coding Focus Mix] - Listen on Spotify🎧

user@profile:~$

EXPERIENCE

user@exp:~$ cat role_1

EXP1

[POSITION]

AI/ML Intern (Co-Op)

[COMPANY]

LivePerson Inc

[DURATION]

September 2025 - Present

[TECH]

Python, Google Cloud Platform, LLM Evaluation Frameworks, Vue.js, Gemini API, Prompt Engineering

[SUMMARY]

-Developing an automatic LLM evaluation framework to benchmark and assess LLMs and Agents for enterprise applications and environments
-Implementing multi-dimensional evaluation metrics for conversational AI systems

user@exp:~$ cat role_2

EXP2

[POSITION]

AI/ML Intern

[COMPANY]

LivePerson Inc

[DURATION]

June 2025 - August 2025

[TECH]

Python, Google Cloud Platform, LLM Evaluation Frameworks, Vue.js, Gemini API, Prompt Engineering

[SUMMARY]

-Built a prompt optimizer system for automatically improving prompts significantly within LivePerson AI Studio platform
-Implemented LLM-as-a-judge methodology based on Google Prompt Optimizer framework

user@exp:~$ cat role_3

EXP3

[POSITION]

Research Intern

[COMPANY]

Centre for Information Security, Digital Forensics and Cyber Resilience (C-ISFCR)

[DURATION]

January 2024 - July 2024

[TECH]

Transformers, I3D, CNN-LSTM, Python, PyTorch, OpenCV, CUDA, GPU Optimization

[SUMMARY]

-Delivered crime detection solutions from CCTV footage with optimized GPU/CPU performance by leveraging I3D, ViT, transformers, and CNN/CNN-LSTM models, improving detection accuracy and efficiency.
-Co-authored a research paper with the professor to publish experimental results, showcasing advancements in video anomaly detection techniques.

user@exp:~$ cat role_4

EXP4

[POSITION]

Software Development Intern

[COMPANY]

Param Innovation | The Param Science Experience Center

[DURATION]

July 2022 - January 2023

[TECH]

Python, R, MATLAB, LaTeX, TensorFlow, OpenCV

[SUMMARY]

-Ideated and developed AI-powered exhibit applications using early stage OpenAI APIs to enhance visitor engagement and learning experiences.
-Amplified team productivity and quality as measured by enhanced internal workflows by integrating AI tools and developing exhibit applications, while contributing as an event volunteer, graphic designer, and technical consultant for vendors.

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PROJECTS

user@proj:~$ cat proj_1

[PROJECT]

Prompt Evaluation Platform

[STATUS]

Production

[CATEGORY]

AI/ML, Software Engineering, Open Source

[TECH STACK]

Astro, Tailwind CSS, Vercel, Gemini API, OpenAI API, Anthropic API

[ABOUT]

-Prompt Evaluation Platform is a platform that allows you to evaluate the performance of a prompt.
-The evaluation works using a dataset of prompts and responses and the platform evaluates the prompt based on the response using a LLM as the judge.

[GITHUB]

user@proj:~$ cat proj_2

[PROJECT]

AI Vault - Reusable AI Application Directory

[STATUS]

Production

[CATEGORY]

AI/ML, Software Engineering, Open Source

[TECH STACK]

Astro, Tailwind CSS, Vercel, Gemini API, DSPy, Prompt Engineering

[ABOUT]

-AI Vault is a comprehensive directory of reusable AI applications designed to assist developers and students in accelerating their AI project development.
-The directory features compact and modular AI components that can be easily integrated into various projects, saving time and effort in building AI functionalities from scratch.

[GITHUB]

user@proj:~$ cat proj_3

[PROJECT]

Agile Bot

[STATUS]

Production

[CATEGORY]

AI/ML, Software Engineering

[TECH STACK]

REST API, RAG, Web Development, LangChain, Django, Vector Database, LLMs, Inference

[ABOUT]

-AI powered platform to automate scrum task generation and management using RAG pipeline
-Automates task creation from project requirements and user inputs using LangChain

[GITHUB]

user@proj:~$ cat proj_4

[PROJECT]

MealAI - AI-powered Calorie and Nutrient Analyzer

[STATUS]

Active

[CATEGORY]

AI/ML, Software Engineering

[TECH STACK]

LangChain, Gemini Vision Language Model, FastAPI, Next.js

[ABOUT]

-An AI-powered application that analyzes meal images to provide detailed calorie and nutrient information.
-Utilizes Vision Language Models to interpret food images and extract relevant nutritional data.

[GITHUB]

user@proj:~$ cat proj_5

[PROJECT]

VisionX AI- A visual answer engine

[STATUS]

Production

[CATEGORY]

AI/ML, Software Engineering

[TECH STACK]

Python, FastAPI, LangChain, Google Gemini API, Tavily Search API, Node.js

[ABOUT]

-Image Analysis: Utilizes the Google Gemini 2.0 Vision model to understand and describe visual elements within an image.
-Search Integration: Employs the TavilySearchResults tool to fetch additional context from the web, enhancing the chatbot's ability to answer questions accurately.

[GITHUB]

user@proj:~$ cat proj_6

[PROJECT]

Mistral 7B Fine-tuning for Finance and Business Question Answering

[STATUS]

Development

[CATEGORY]

AI/ML

[TECH STACK]

Transformers, PyTorch, HuggingFace, Large Language Models, Parameter Efficient Fine Tuning, LoRA, Prompt Engineering

[ABOUT]

-Started as a personal project to fine-tune the Mistral-7B model for business and finance-related question answering tasks.
-Started with a 4-bit quantized model and fine-tuned it on a dataset of 17,480 samples using the LoRA method with the PEFT library.

[GITHUB]

user@proj:~$ cat proj_7

[PROJECT]

MBTI-based Personality Classification using BERT

[STATUS]

Completed

[CATEGORY]

University Project

[TECH STACK]

Transformers, PyTorch, HuggingFace, BERT, NLP, Machine Learning

[ABOUT]

-Meyer Briggs Type Indicator (MBTI) is a popular personality classification system that categorizes individuals into one of 16 personality types.
-Majorly used to understand the personality of individuals and to analyze the compatibility between individuals using small samples of text.

[GITHUB]

user@proj:~$ cat proj_8

[PROJECT]

Event Management System

[STATUS]

Completed

[CATEGORY]

University Project

[TECH STACK]

Java, MVC Architecture, Object-Oriented Programming

[ABOUT]

-Developed an event management system using Java and the MVC architecture.
-The system allows users to create, update, and delete events, and also allows users to register for events.

[GITHUB]

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RESEARCH

user@profile:~$ cat research_papers.json

[RESEARCH PAPER]

Analysis of Image Filters for Binary Fabric Classification

CONF: International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

DATE: June 2024

AUTHORS: Chitra G M, Shylaja S S, Vijay Ram Enaganti, Naresh Srinivas, Saakshi Sanjeev, Mohnish Sai Choudhary

Reviewed existing methods to classify binary fabric images using image filters and machine learning models.

Image ProcessingMachine LearningComputer Vision

[VIEW PAPER]

[RESEARCH PAPER]

Video Anomaly Detection using CCTV Footage

JOURNAL: IEEE Transactions on Pattern Analysis and Machine Intelligence

DATE: June 2024

AUTHORS: Preet Kanwal, Vijay Ram Enaganti, Shal Ritvik Sinha

Proposed novel GPU acceleration techniques for processing large-scale surveillance video streams

Computer VisionMachine LearningDeep Learning

EDUCATION

user@education:~$ cat masters.txt

MSC

[DEGREE]Master of Science in Computer Science

[INSTITUTION]University of California - Riverside

[LOCATION]Riverside, CA

[YEAR]September 2024 - December 2025

[GRADE]3.74/4.0

[COURSES]

Artificial Intelligence, Foundations of Machine Learning, GPU Architecture and Parallel Programming, Information Retrieval and Web Search, Data Mining Techniques, Compiler Construction

user@education:~$

user@education:~$ cat bachelors.txt

BSC

[DEGREE]Bachelor of Technology in Computer Science

[INSTITUTION]PES University

[LOCATION]Bangalore, India

[YEAR]August 2020 - June 2024

[GRADE]8.30/10

[COURSES]

Linear Algebra and its Applications, Statistics for Data Science, Design and Analysis of Algorithms, Machine Intelligence, Software Engineering, Database Management System, Operating Systems, Big Data, Cloud Computing

user@education:~$

ACHIEVEMENTS

user@profile:~$ cat achievements.json

[HACKATHON]

AI Pitch Competition - 1st Place Winner

ISSUER: AGSM Product Club, UC Riverside

An automated AI powered Visual Verification Testing platform to perform visual verification testing on web applications and desktop applications.

[HACKATHON]

Hashcode 11 - 5th Place Winner

ISSUER: PES Innovation Lab, PES University, Bengaluru, India

Built a platform for assisting students with learning disabilities by using interactive technologies like AR and VR.

[HACKATHON]

Terrathon 2.0 - 4th Place Winner

ISSUER: Alcoding Club, PES University, Bengaluru, India

Developed a inventory management for individuals and small businesses to reduce food wastage focusing towards achieving sustainable development goals defined by the United Nations.

[ACHIEVEMENT]

Develop for Her 2.0 - 4th Place Winner

ISSUER: ACM-Women, PES University, Bengaluru, India

Ideated a health and wellness platform for women to track and effectively manage their health and safety.

[ACHIEVEMENT]

Generative AI Fundamentals

ISSUER: Google Cloud Skills Boost

[ACHIEVEMENT]

Machine Learning Fundamentals

ISSUER: AWS Educate

[ACHIEVEMENT]

Introduction to Cloud Computing 101

ISSUER: AWS Educate

SKILLS

user@profile:~$ cat technical_skills.json

STATUS:Continuously Learning & Expanding Skillset

ACTIVE

CURRENTLY LEARNING:[LLM and Agent Evaluations | MCP Client and Server Tools Development | LLM Applications and Deployment]

[PROGRAMMING LANGUAGES]Python, JavaScript, TypeScript, Java, C++, R, SQL

[AI/ML FRAMEWORKS]LangChain, LangGraph, LangFlow,TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, Hugging Face

[WEB TECHNOLOGIES]React, Next.js, Node.js, FastAPI, Flask, HTML5, CSS3, Tailwind CSS

[CLOUD & DEVOPS]GCP, AWS (S3, EC2), Docker, Kubernetes, Kafka, Hadoop

[DATABASES]PostgreSQL, MongoDB, MySQL, Vector Databases

[DATA SCIENCE]Pandas, NumPy, Matplotlib, Seaborn, Jupyter, Apache Spark, Tableau

[TOOLS & PLATFORMS]Git, GitHub, VS Code, Postman

[SPECIALIZATIONS]Machine Learning, Deep Learning, Computer Vision, NLP, MLOps, Data Engineering

CONTACT

user@profile:~$ cat contact_info.json

LinkedIn [Preferred]

@vijay-ram-enaganti

GitHub

@VjayRam

vjayram.enag@gmail.com

X (Twitter)

@VijayRa50546193

STATUS:Currently looking for full-time opportunities

AVAILABLE