AH

Alister Anthony Alex Hosamani

Software Engineer

I am a passionate software engineer with expertise in Full Stack Development, Nextjs, ReactJS, Nodejs C/C++, pSQL, Machine Learning and AI. I have a strong background in building end-to-end solutions, seamlessly integrating front-end and back-end technologies to develop scalable, high-performance applications. My expertise lies in designing and optimizing architectures that enhance efficiency, reliability, and user experience. I am committed to leveraging modern frameworks, AI-driven insights, and distributed technologies to solve complex challenges, drive innovation, and push the boundaries of what’s possible in the ever-evolving tech landscape

Alister Hosamani - Portfolio Display Picture

A little about me

Alister Hosamani

With a degree in BE Computer Engineering, my journey in technology has been fulfilling and dynamic. My academic background laid a strong foundation, further enriched by an impactful internship at SPARK+ Technologies, where I specialized in web development.

Over the years, I have honed my skills in ReactJS,Nextjs, PSQL, NodeJs, Python, Java.NET, C/C++, as well as advanced tools like scikit-learn, PyTorch, and Ultalytics. I have published 2 papers on a novel algorithm for detecting Semi Occluded fires in a Q1 journal and a conference paper. My hands-on experience includes building various web applications with NextJS and Node.js, along with AI-driven solutions. I developed a Society Management App to streamline residential operations with event management, Charges/Fee tracking, and SMS notifications using Next.js, Node.js, and PostgreSQL. My RFP Summarizer tool leverages NLP and OpenAI GPT to extract key insights from proposal documents, improving efficiency. I also created a Food Restaurant Website landing site using Vue.js. Additionally, I have developed a novel algorithm on Semi-Occluded Fire Detection along with enhancements to existing safest path and damage cost estimation algorithms.

Technologies I've worked with

React
Next.js
Node.js
TypeScript
PostgreSQL
Android Studio
Material UI
Python
Vue.js
WordPress

Experience

July, 2023 - September, 2023

Web Development Intern - SPARK+ Technologies

Worked closely on the construction and development of the company’s client website, gaining hands-on experience in web design and development. Additionally, I successfully gained proficiency in Quality Testing process

VueJS
ReactJs
Quasar
BootStrap

July 2024 - Present

Software Developer Trainee - HDSOFT Technologies

Working as Full Stack Developer, analyzing client requirements, and contributing to the implementation of innovative solutions that drive business success.

NextJs
NodeJs
Material UI
Prisma ORM
PSQL

My Work & Recognitions

Society App
Society App

A residential society management app designed to efficiently handle events, maintenance fees, and communication through a structured system. This full-stack web application, built with Next.js, Node.js, and PostgreSQL, streamlines operations and provides role-based access for society members and admins, ensuring seamless management and improved coordination.

NextJS
Node.js
PSQL
Prisma
Real-time Semi-Occluded Fire Detection and Evacuation Route Generation: Leveraging Instance Segmentation for Damage Estimation
Real-time Semi-Occluded Fire Detection and Evacuation Route Generation: Leveraging Instance Segmentation for Damage Estimation

Developed a novel algorithm to address the critical challenge of detecting semi-occluded fires, where flames are partially hidden by obstacles. Our model achieved a precision of 0.73 and an F1 score of 0.81, outperforming standard fire detection models. Additionally, we introduced an enhanced dynamic evacuation route generator and damaged cost estimation,to ensure safe navigation in low-visibility scenarios and resource allocation during post-fire recovery efforts. Published in the prestigious Fire Safety Journal, an Elsevier publication, recognized as a Q1 journal in the field of fire safety engineering.

Python
YOLOv8
Opencv
Ultralytics
RFP Summarizer
RFP Summarizer

Handling Request for Proposals (RFPs) is often time-consuming due to their complexity and length. My RFP Summarizer is an AI-powered tool designed to automatically extract key information from lengthy RFP documents, making the review process more efficient. The system processes RFP documents, identifies crucial sections such as requirements, deadlines, and eligibility criteria, and generates a concise summary for quick decision-making. This tool helps businesses, consultants, and procurement teams save time by reducing manual effort, improving accuracy, and enabling faster responses to RFPs.

ReactJs
Node.js
Gemini API
Task Tracker
Task Tracker

A responsive task management progressive web app using Next.js, TypeScript, Node.js, Express, Prisma, and PostgresSQL. Enabled task creation, time tracking with pause/resume, calendar view, and daily progress monitoring. Integrated geolocation to auto-pause tasks based on user location (office/home). Designed with a PWA-first approach for cross-device support.

NextJS
PWA
Node.js
PSQL
Prisma
Project of the year award at FIST awards 2024
Project of the year award at FIST awards 2024

Won Project of the year award at FIST awards 2024 conducted by Fire and Security Association of India (FSAI) on 22nd August in Mumbai 2024. Our project aims to enhance fire detection, particularly in situations where fires are partially obscured, using instance segmentation technology. It includes a dynamic evacuation route generator for safe navigation during emergencies, even in low visibility, and automates real-time damage estimation to streamline insurance claims

Python
YOLOv8
Opencv
Ultralytics