Available for new opportunities

AyeshaImran

Software Engineer |
Ayesha Imran - Software Engineer
Get to know me

About Me

I am an early-career Software Engineer ambitious about building responsible and impactful technology.

As the co-founder of the award-winning AI nutrition app, BYTE, and a winner of multiple global hackathons, my expertise lies in AI/ML, Generative AI, RAG, NLP, and secure-by-design full-stack development.

I love working on end-to-end apps with full ownership of my work. I also like researching AI concepts and working on research-based projects.

"Endlessly learning, perpetually building."

Beyond coding, my hobbies include reading classic literature, working out, listening to podcasts, and lurking on Reddit.

Currently Exploring

Natural Language Processing (NLP)

Deepening my understanding of advanced model architectures and fine-tuning techniques.

Machine Learning Operations (MLOps)

Exploring best practices for deploying, monitoring, and maintaining production-level ML systems.

Quantum Computing

Following the latest developments and foundational principles of this next-generation paradigm.

Securing AI

Exploring techniques like searchable vector encryption and privacy-preserving methods to secure generative AI workflows and protect sensitive data in AI applications.

System Design Fundamentals

Studying scalable architecture patterns, distributed systems, and design principles for building robust, high-performance applications at scale.

Synthetic Data Generation

Investigating techniques for creating high-quality synthetic datasets using LLMs to address data scarcity, privacy concerns, and bias mitigation in ML/AI workflows.

My Tech Stack

Technologies and tools I use to bring ideas to life

Languages

PythonJavaScriptTypeScriptSQLC++

Cloud & DevOps

AWSGCPDockerKubernetes

AI & Data

Vector DatabasesPyTorchHugging FaceLLMsAI Agents

Tools & Frameworks

GitFastAPINext.js
My journey

Professional Experience

Data Science Intern

Data Science Dojo (Remote)
Feb 2024 – June 2024
  • Worked on RAG pipeline using LangChain and LlamaIndex.
  • Authored technical content on fine-tuning and GenAI concepts.

AI Software Developer

PCSIR (Karachi)
Sept 2023 – May 2024
  • Built a multilingual AI-powered healthcare app using Flutter and AWS Lambda.
  • Integrated Text-to-Speech and Speech-to-Text APIs to improve app accessibility.

ML Research Intern

Neuro-Computational Lab - NEDUET
Sept 2023 – Nov 2023
  • Augmented a diabetic retinopathy dataset using GANs and ESRGANs, improving model training quality by 30%.

Core Content Team Member

Google Developers Group - NEDUET
Oct 2024 – May 2025
  • Collaborated with the GDG-NEDUET team to create technical content and tutorials for the community blog.
  • Conducted a session alongside the BYTE team on making award-winning apps.
My work

Projects & Case Studies

I believe in learning by doing. Here is a selection of projects where I've turned ideas into tangible, impactful solutions, both collaboratively and independently.

Featured Collaborations

BYTE

Award-Winning App

An AI-powered nutrition assistant that was a Google Solutions Challenge Top 10 Finalist and won multiple global hackathons.

My Role: I developed the 'Get Alternatives' feature, and configured the Weaviate vector database for our RAG pipeline as part of the founding team.

Tech Stack:

FlutterFirebaseGoogle CloudCohereWeaviateLangChain

Confidential Copilot

Final Year Project

A Zero-Trust Generative AI platform for interacting with sensitive data, built on a foundation of searchable encryption.

My Role: I architected the BYOK-based authentication mechanism, implemented Distance Comparison Preserving Encryption (DCPE), published the dcpe-js npm package for client-side encrypted vector search, and created the encrypted RAG pipelines

Tech Stack:

Next.jsSupabasepgvectorTypeScriptBYOK AuthenticationSearchable Encryption

More Team Projects

ADDIE
AI Agents Hackathon

AI productivity app for ADHD individuals using Crew AI agents to integrate with Google services.

Crew AIGoogle APIs
INSTArget
Falcon AI Hackathon

Instagram competitor analysis tool using RAG on a Weaviate DB and the Apify API for data scraping.

PythonWeaviateApify APIRAG+2 more
Malware Detection in Container Environment
Research Project

Implemented Random Forest ML technique to detect and classify anomalies in container environments using container logs.

Machine LearningContainersCloudAnomaly detection+1 more
SPROUT
Trulens Hackathon

Multimodal RAG app for plant disease detection from user-uploaded images, plus NDVI images analysis.

PythonComputer VisionMultimodal RAGMachine Learning+2 more
Gemma-2 Urdu Finetuning
Kaggle Hackathon

Kaggle hackathon project to finetune Gemma-2 on Urdu for improved health-related text generation.

PythonTransformersGemma-2Urdu NLP+2 more
techBit
University Project

A full-stack Node.js and Oracle DB resource platform for CS students (university project).

Node.jsOracle DBFull-StackEducation

Awards & Recognition

Top 10 Global Finalist – Google Solutions Challenge 2024

Project: BYTE

1st Place Winner – Cohere Coral Hackathon 2023

Project: BYTE

1st Place Winner – Securiti AI Challenge 2024

Project: BYTE

Best Web App Winner – CodeSphere'23

Project: SPROUT
My thoughts

Writing & Technical Articles

DeepSeek-R1 and the Future of Generative AI: A Comprehensive Breakdown

Your Complete Guide to DeepSeek-R1: Core Concepts, Research Insights, and Everything in Between

Read Article

Quantum Computing: Exploring the Parallel Universe of Technology

A beginner friendly guide to quantum computing.

Read Article

Unlocking LLM Agents: Supercharge Your Language Models

A tutorial for creating web-search agent using LangChain.

Read Article

A Comparative Analysis of RLHF and DPO for Finetuning LLMs

Exploring and comparing two widely-used techniques for LLM-finetuning.

Read Article

Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 1

Automating entity extraction and ingestion for knowledge graph creation.

Read Article

Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 2

Automating entity relationships extraction and ingestion for knowledge graph creation.

Read Article
My credentials

Education & Certifications

Education

B.E. in Software Engineering

NED University of Engineering and Technology

2021 – 2025
3.71 / 4.0

A Levels, Engineering and Computer Science

Dawood Public A Level College

2019 – 2021
As and A*s

Certifications

Machine Learning Specialization

DeepLearning.AI & Stanford

View Certificate

API Security Fundamentals '25

APIsce University

View Certificate

AI Agents Fundamentals

Hugging Face

View Certificate

React Basics

Meta

View Certificate

Version Control

Meta

View Certificate
Let's connect

Get In Touch

I'm passionate about building innovative technology and am always open to discussing new projects and opportunities. Whether you have a question or just want to connect, feel free to reach out!