Antriksh Dubey

AI/ML Developer | Full Stack Engineer

Solan, IN.

About

Highly analytical and results-oriented AI/ML Developer and Full Stack Engineer with a strong foundation in Computer Science and Engineering. Proven ability to design, develop, and deploy advanced AI solutions, including Retrieval-Augmented Generation (RAG) models and AI/ML-driven recommendation systems, enhancing efficiency and user engagement by up to 30%. Expert in leveraging cloud platforms (GCP), FastAPI, and various AI/ML frameworks to build scalable and fault-tolerant applications. Demonstrated leadership in UI/UX and a passion for data-driven insights and problem-solving, backed by a track record of competitive achievements and impactful research projects.

Work

Octanet Services

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Full Stack Developer Intern

Summary

Developed an AI/ML-driven movie recommendation website, focusing on personalized content delivery and system optimization.

Highlights

Engineered an AI/ML-driven movie recommendation platform, elevating user engagement by 25% through personalized content suggestions.

Implemented FastAPI to achieve 20% faster real-time data transfer, optimizing recommendation delivery.

Utilized Google's Universal Sentence Encoder for precise document vectorization, enhancing recommendation accuracy by 30%.

Nagent AI

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AI Developer Intern

Summary

Contributed to the development of advanced AI solutions, focusing on enhancing model efficiency and data insights for enterprise applications.

Highlights

Spearheaded the design and implementation of a Retrieval-Augmented Generation (RAG) model, boosting AI agent efficiency and accuracy by 30% for impactful enterprise solutions.

Optimized team collaboration and project delivery through strategic leverage of Google Cloud Platform (GCP), resulting in a 20% reduction in workflow inefficiencies and accelerated turnaround times.

Enhanced AI model capabilities by integrating Neo4j Aura graph database, accelerating data insights by 40% and revealing complex data relationships.

Education

Jaypee University of Information Technology

Bachelor of Technology Computer Science and Engineering Grade:

Courses

Problem Solving

Object-Oriented Programming (OOP)

Database Management Systems (DBMS)

Operating Systems (OS)

Compiler Design

Networks

Cloud Computing

Machine Learning

Deep Learning

Artificial Intelligence

Awards

5th Rank in Smart India Hackathon

Smart India Hackathon

Secured 5th rank in the national Smart India Hackathon, demonstrating strong problem-solving and technical skills.

Rank 1 in Codechef JUIT Chapter DSA Series Episode 2

Codechef JUIT Chapter

Achieved 1st rank in the Codechef JUIT Chapter Data Structures and Algorithms Series, Episode 2, showcasing competitive programming excellence.

Rank 3 in Codechef JUIT Chapter DSA Series Episode 1

Codechef JUIT Chapter

Secured 3rd rank in the Codechef JUIT Chapter Data Structures and Algorithms Series, Episode 1, demonstrating early proficiency in competitive programming.

Languages

English

Fluent

Skills

AI/ML & Data Science

Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Data Analysis, TensorFlow, PyTorch, LangChain, OpenAI API, Gemini API.

Programming Languages

Python, FastAPI, SQL.

Web Development & APIs

API Development, RESTful APIs, Pydantic.

Cloud & DevOps

Google Cloud Platform (GCP), Docker, Git.

Programming Languages

C/C++, JavaScript, HTML/CSS.

Web Development & Frameworks

Flask, Streamlit.

Data Science Libraries

Scikit-learn, pandas, NumPy, Matplotlib, XGBoost.

Databases & Tools

DBMS, Neo4j, Data Cleaning, VS Code, Jupyter, Google Colab, BeautifulSoup/BS4, tesseract OCR, duckduckgo_search, Serper API.

DevOps & Deployment

CI/CD, Railway.

Core Computer Science

Problem Solving, Object-Oriented Programming (OOP).

Core Computer Science

Operating Systems (OS), Compiler Design, Networks, Graph Databases, Thunder Client, LM studio, tqdm.

Projects

Healthcare AI Content Relevance

Summary

An AI-powered article analysis API designed to score healthcare content by relevance, leveraging FastAPI and Gemini API.

LLM-based RAG Search

Summary

A full-stack Retrieval-Augmented Generation (RAG) system integrating web search, scraping, and summarization.

Julep Research API

Summary

A Flask-based API integrated with Julep AI for processing research queries with high uptime and performance.

Dataset on Eating Disorder Memes

Summary

A curated dataset of eating disorder and non-eating disorder memes for content analysis.

Dataset on Memes made on Children

Summary

A collected dataset of memes for a research paper analyzing content impact for social good.