AI Developer
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Aryan
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ABOUT ME
Hi, I'm Aryan Parab 👋
I'm a full-stack developer passionate about creating elegant solutions to complex problems. With a strong foundation in both frontend and backend technologies, I build scalable applications that make a difference.
Over the past few years, I've specialized in AI/ML integration, working with cutting-edge technologies like LLMs, RAG systems, and deep learning frameworks. I love turning ambitious ideas into reality through clean, efficient code.
When I'm not coding, you'll find me exploring new technologies, reading about history, wildlife, mythologies and Anime , or playing Football. I believe in continuous learning and staying ahead of the curve in this ever-evolving tech landscape.
TECHNICAL SKILLS
Languages/Frameworks
Databases/Cloud
AI/ML
Tools
EXPERIENCE
My journey through companies and institutions
Deloitte
Deloitte
Backend Engineer | Full-time
- Worked on a Data Rationalization project involving data cleaning, transformation, and integration to prepare datasets for clustering workflows.
- Modified clustering algorithms based on client requirements, dataset characteristics, and output interpretability.
- Performed iterative tuning of clustering models by adjusting parameters to improve cluster quality and reliability.
- Built Power BI dashboards to visualize and interpret optimized clustering outputs.
- Validated metadata across datasets in a data warehousing project, reducing retrieval errors and improving consistency.
- Built pipelines to transition data from legacy systems to a new data warehouse for improved analytics and management.
- Achieved AWS Solutions Architect and PL-300 certifications, demonstrating proficiency in cloud architecture and data analytics.
Springwood
Springwood
Business Analyst | Internship
- Integrated WebEngage analytics to track user events and funnels, contributing to improved marketing performance and revenue growth.
- Designed audience segmentation and targeting strategies to improve customer engagement and retention across multiple clients.
- Built a lightweight website with ChatGPT integration for real-time notifications and automated client interactions.
- Revamped and optimized the company website, improving SEO, content clarity, and overall performance.
- Consulted clients on CRM workflows, providing actionable recommendations for conversion optimization and automation.
AIESEC in Mumbai
AIESEC in Mumbai
Head of Outgoing Social Sector | Internship
- Tracked global demand and supply while adapting exchange products for the local market.
- Established 12+ international partnerships, improving customer experience and delivery quality.
- Generated ₹2.5+ Lakhs in revenue during the post-COVID recovery phase.
- Curated customer journey strategies to streamline international exchange programs.
- Achieved 25% growth in overall operations and a 20% sales conversion ratio.
- Supervised and coached a team of 16 across marketing, sales, customer experience, and international relations.
- Recognized as 2nd Place nationally for Overall Operations in Outgoing Global Volunteer, AIESEC India.
SakuraWave
SakuraWave
Co-Founder | Full-time
- Co-founded an e-commerce venture and achieved ₹8L+ in revenue through strategic business development.
- Established partnerships with multiple suppliers for efficient merchandise sourcing.
- Led the creation and management of the company website.
- Managed order fulfillment, logistics, and customer service operations to ensure timely delivery.
University of Southern California
University of Southern California
Master's in Computer Science | education
- Focus on Machine Learning and Artificial Intelligence
- Relevant coursework: Deep Learning, Computer Vision, NLP
- Won 1st place at USC Claude Hackathon
- Runner-up at Quantum Hackathon
Thadomal Shahani
Thadomal Shahani
Bachelor's in Computer Engineering | education
- Graduated with First Class with Distinction
- Founded and led university coding club
- Published research paper on ML optimization
- Dean's List for academic excellence
PROJECTS
1 / 7
Idol Coach – AI Singing Assistant
Full-stack AI-powered singing coach with React frontend and FastAPI backend serving 50+ users. Users record vocals in a chat-like interface and receive real-time feedback powered by CNN audio classifier using TensorFlow and Librosa feature extraction. Deployed on AWS (EC2, S3) with PostgreSQL, achieving 30% latency reduction through inference optimization.
Sinbad AI – Multi-Agent Narrative System
Distributed AI system with 10+ specialized agents using OpenAI GPT-4 and Anthropic Claude APIs. Implements agent-to-agent communication with RAG architecture using FAISS vector database for 20+ turn context retention. FastAPI backend with MongoDB handles state management, optimized coordination from 2.1s to 1.2s (43% improvement).
Grocery List Generator
An interactive, Streamlit-powered grocery list and meal planning tool built in Python. It generates organized grocery lists from recipes and user inputs, with modular scripts handling grocery logic, list management, and recipe insights in a lightweight web app.
Alter Ego – Persona-Based AI Agent Platform
Lightweight AI agent framework using OpenAI APIs with memory and tool integration. Implements persona-driven agents with FAISS vector search for context retrieval, fact-checking capabilities, and guardrails. Features OAuth authentication patterns and LangChain orchestration for multi-step workflows.
Mood Music Recommender
Hybrid recommendation system using sentiment analysis (text/audio) and Spotify API OAuth2 integration. Detects user mood through text sentiment and generates personalized playlists using React/Next.js frontend with FastAPI backend. Features automated playlist generation and real-time music suggestions.
Weenix Operating System Kernel
Implemented Unix-like OS kernel in C including process management (fork, exec, waitpid), virtual memory subsystem, and VFS layer. Features preemptive scheduler with mutex and condition variables handling 100+ concurrent processes. Comprehensive testing and GDB debugging for race conditions and memory management.
Online Video KYC Verification
Built an end-to-end Video KYC system that verifies user identity using document OCR, OTP validation, and live face recognition. Implemented Aadhaar data extraction via OCR, webcam-based face capture, and CNN-based facial matching between documents and live feed to ensure identity authenticity.
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