Production Mobile & AI Portfolio
Detailed case studies of cross-platform Flutter applications, production client delivery ecosystems, and deep machine learning projects.
Dliva — 3-App Food Delivery Ecosystem
Built a complete 3-app ecosystem (Consumer, Vendor, Driver) serving 500+ daily orders. Implemented custom driver-assignment algorithms using O(n log n) distance-sorting logic that reduced average delivery times by 25%. Integrated Stripe payments, Google Maps API live routing, and real-time Firebase syncing.
Key Outcomes & Technical Achievements:
SnapQuote AI — Multi-Tenant Mobile SaaS
Designed and deployed a full-featured multi-tenant mobile AI SaaS app available on Play Store. Integrated Groq API for rapid speech-to-text transcription, custom Node.js backend with Supabase, tiered subscription validation, and in-app purchases.
Key Outcomes & Technical Achievements:
Meng AI — Intelligent Fitness & Meal Coach
Developed during production tenure at Esferasoft. Engineered a Gemini-powered workout & nutrition plan generator, body-scan analysis module, real-time AI coach chat, and an automated push notification pipeline delivering 10,000+ daily personalized alerts via Firebase Cloud Messaging.
Key Outcomes & Technical Achievements:
AI Code Review & Documentation Platform
Built an intelligent code review assistant using Cohere NLP API that analyzes code snippets, detects potential anti-patterns, generates structured documentation, and cuts manual code review turnaround time by 70%.
Key Outcomes & Technical Achievements:
AI Engineering & Research Projects
Personal and research projects backing ML & GenAI credibility
Argus — Multi-Agent Research System
Autonomous research system built with LangGraph, web scraping agents, and iterative synthesis pipelines for deep domain analysis.
AudioCNN — Deep Learning Classifier
PyTorch convolutional neural network architecture trained on spectrogram transformations for high-accuracy audio spectrum classification.
TelcoPredict — Customer Churn Pipeline
End-to-end customer churn prediction pipeline featuring feature engineering, model tracking via MLflow, Dockerization, and AWS EC2 deployment.