Hello World,

I'm Aditya Agarwal 👋

AI/ML Engineer specializing in Conversational AI and Advanced RAG Systems

I design conversational scripting systems that guide language models through continuous self-reflection, making AI interactions feel natural while capturing valuable user insights.

📍 New York City, NY

🚀 Current Role: AI/ML Engineer at early-stage startup

Leading Search & Retrieval systems using advanced RAG implementations with high accuracy. Building self-reflective AI systems as the sole SDE.

🎯 Expertise: Conversational AI Architecture

I design conversational scripting systems where AI guides users through natural conversations while achieving specific goals through continuous self-reflection.

💡 Innovation: Self-Reflective AI Systems

Developing AI that can adapt and improve its approach in real-time, making data collection feel like natural conversation rather than interrogation.

🔧 Technical Focus: Advanced RAG & LLM Optimization

Implementing cutting-edge retrieval systems with Vector Databases, Transformer Models, and Production ML.

📚 Learning Philosophy: Build while Learning

Self-taught engineer who learns by building. Currently mastering production ML systems while developing innovative conversational AI solutions.

🌟 Let's Connect: Ready to innovate together?

Always excited to discuss AI, share ideas, and collaborate on cutting-edge projects that push the boundaries of what's possible.

Professional Documents 📄

Download my latest resume and cover letter

Download Resume View Cover Letter

Note: These documents are regularly updated to reflect my latest achievements and experience. Last updated: January 2025

Education 🎓

📜 Master of Science in Machine Learning

Stevens Institute of Technology, NJ

GPA: 3.5/4.0

Key Coursework & Skills

Text Mining and Information Retrieval
Natural Language Processing
Artificial Intelligence
Machine Learning: Fundamentals and Application
Knowledge Discovery and Data Mining
Advanced AI/ML Research Projects

Sep 2022 → May 2024

📃 Bachelor of Engineering in Computer Science

Alliance University, Bangalore

Core Subjects

Database Management Systems
Operating Systems
Data Structures and Algorithms
Big Data Analytics
Data Management and Data Warehousing
Engineering Mathematics (Probability, Statistics, Calculus)
Cloud Computing
Software Engineering

Aug 2017 → Jul 2021

Professional Experience 💼

🚀

Machine Learning Engineer

Soopra.ai, San Francisco

August 2024 - Present

Agentic Systems Vector Databases RAG Pipelines Security Controls High Availability

▶ Architected scalable AI infrastructure implementing Agentic systems with custom recommendation engines, improving engagement by 35%
▶ Developed production-grade AI pipelines for PDF document processing with vector database integration
▶ Built resilient data processing systems creating prototype Agent-first social media platform with high availability architecture
▶ Implemented security controls for AI service deployments, ensuring compliance with data governance standards
▶ Developed conversational AI security scripts achieving 30% improvement in user satisfaction and 20% reduction in onboarding time

💼

Software Developer Intern

Soopra.ai, San Francisco

June 2023 - May 2024

RAG Pipelines Event-Driven Architecture ETL Infrastructure Real-time Processing 95% Accuracy

▶ Engineered enterprise RAG pipelines with vector databases for multi-source data ingestion, achieving 95% embedding accuracy
▶ Designed event-driven chat systems utilizing domain-driven architecture, increasing user engagement by 25%
▶ Built scalable ETL infrastructure for real-time social media data extraction and processing using messaging patterns
▶ Implemented decay-function algorithms for reverse chronological retrieval with intelligent response routing
▶ Reduced data loading time by 15% through optimized messaging patterns and data processing workflows

🌐

Full-Stack Developer

SA Consultant, Bangalore

October 2021 - June 2022

Django PostgreSQL RESTful APIs AWS RDS Heroku

▶ Delivered enterprise web application using Django framework with object-oriented design principles
▶ Increased team efficiency by 30% and improved client communication through secure RESTful APIs
▶ Implemented billing and monitoring systems with PostgreSQL backend, enhancing project documentation accuracy
▶ Deployed cloud-native solution on Heroku with AWS RDS integration for high availability
▶ Provided audit trails for compliance and ensured data security for distributed teams