AI
-
Jumped into AI on
OpenAI DevDay 2023.
-
As a product manager, led the project NOVA (RAG over Retail Stores
database) built for
INNOVENT Technologies, Demoed at
GITEX, GLOBAL
-
Currently building projects at
Headstarter
across AI/ML and full stack web apps. Collaborating in teams to
deploy custom neural networks, Voice AI agents, Generative UI
components, multimodal RAG pipelines, and recommendation systems
-
Here is my indepth article on
The Foundations and Evolution of Generative AI: A Holistic
Overview of Models, Techniques, and Applications, which can help you digest a lot of AI Concepts
Top AI Projects, I Built:
-
AI Search Engine: Developed using Next.js and TypeScript, enabled web scraping
with Puppeteer and Cheerio, and implemented an LLM-based chat
interface with source citations. Optimized performance with
Redis-based rate limiting and scalable API handling.
-
Pentagram: Realtime Image Diffusion: Built a web app for generating images from text prompts using
serverless GPUs, React, and TypeScript. Achieved low-latency
performance (<2 seconds) for concurrent requests with scalable
GPU resource management.
-
Stock Analysis and Search Engine: Designed a system for finding stocks based on natural language
queries. Integrated a scalable embeddings pipeline with Pinecone,
a FastAPI for text embeddings, and filtering by key metrics like
market cap and volume.
-
LLM Evaluation Platform: Developed a web app to compare LLM responses side-by-side with
metrics like accuracy and response time. Built an analytics
dashboard for visualizing and comparing experiment results.
-
Brain Tumor Classification: Classified 1000 MRI scans into three brain disease categories
using neural networks. Delivered multimodal reports for
neurosurgeons with under 200ms latency after training.
Interesting AI Talks/Videos, You must Watch
Papers
-
Low-Resource End-to-End Urdu TTS using Tacotron2, WaveGlow, and
Transfer Learning: Link to Download
