Aditya Sadana

Software Engineer

Hyderabad, Telangana, India2 yrs 2 mos experience

Highly Stable

Key Highlights

Full Stack Developer with experience at Apple.
Expertise in backend development and database management.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and Machine Learning industries.

Contact

sadanaditya@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentDatabase ManagementFull-stack DevelopmentSoftware Engineering

Other Skills

API DevelopmentAgile DevelopmentAgile MethodologiesAkkaAlgorithmsAmazon Web Services (AWS)Apache KafkaApplication Programming Interfaces (API)Attention to DetailAuthentication ProtocolsBullMQBusiness RequirementsCascading Style Sheets (CSS)CassandraChatGPT API

About

I’m a Full Stack Software Developer at Apple, where I work on building reliable, high-performance systems that impact millions of users. Alongside my full-time role, I take on freelance projects in full stack development, specializing in scalable full stack solutions for clients ranging from early-stage startups to established companies. I’m passionate about the intersection of technology, finance, and business - whether that’s decoding market movements, exploring disruptive business models, or understanding how software is reshaping industries. Outside of work, I follow the stock markets, study macro and microeconomic trends, and enjoy breaking down complex ideas into actionable insights. 📌 Currently: • Working full-time as a Software Developer at Apple • Freelancing in full stack development • Sharing insights on tech, markets, and business strategy Let’s connect if you're into: • Building robust software products • Exploring how tech and finance intersect • Collaborating on innovative projects in software or investing

Experience

2 yrs 2 mos

Total Experience

2 yrs 2 mos

Average Tenure

Current Experience

Apple

Software Developer

Dec 2024 – Present · 1 yr 6 mos · Hyderabad, Telangana, India · Hybrid

Guiding people to the right path through Apple Maps.

Reachinbox

Back End Developer

Aug 2024 – Oct 2024 · 2 mos · Remote

Re-developed entire Stripe Integration to also accept One-time Payments and Monthly Addons.
Single Handedly developed the Backend of mailverify.ai (Email Verification Tool) and its integration with other Outreach Platforms like Instantly and SmartLeads.
Implemented automation scripts for Linkedin using Puppeteer.
Tech Stack: TypeScript, Express, MySQL, Apache Kafka, RabbitMQ, Docker

TypeScriptExpressMySQLApache KafkaRabbitMQDocker+2

Smartreach.io

2 roles

Software Engineer

Jun 2022 – Aug 2024 · 2 yrs 2 mos

Introduced notification service in the main app using Pusher.
Worked on automating multichannel tasks (Linkedin, Whatsapp, Phone).
Integrated ChatGPT API to generate email content and campaign sequence on a single click.
Integrated PhantomBuster APIs and used puppeteer to generate linkedin sessions and automate tasks.
Built the Reports Page using React ApexCharts and applied caching using Redis.
Implemented Drip Campaign (Conditional scheduling of steps / tasks).
Tech Stack: Scala (Play + Akka), React, TypeScript, PostgreSQL, RabbitMQ, Redis

ScalaReactTypeScriptPostgreSQLRabbitMQRedis+2

Software Engineer Intern

Apr 2022 – May 2022 · 1 mo

Learned to code in Scala, React.js, TypeScript.
Applied those concepts in building a Billing App for the main app.
Integrated the app with payment gateways like Stripe and FastSpring.
Tested the working of app through transactions in Test as well as Real environment.

ScalaReact.jsTypeScript

Chi squarex

Machine Learning Engineer Intern

Feb 2022 – Mar 2022 · 1 mo · Remote

Member of a team that worked on Machine Learning projects given by external clients.
Built Document Clustering Model based on Topic Modelling using LDA (Latent Dirichlet Allocation).
Built an Unsupervised Machine Learning model for Fault Detection in Photovoltaic Systems. Accuracy ~ 97.93%
Trained models for CyberAttack Detection and applied ensemble method. Accuracy ~ 87.63%

Wolters kluwer

Data Science Intern

Aug 2021 – Dec 2021 · 4 mos · Pune, Maharashtra, India · Remote

Member of QMS (Quality Management System) Team.
Automated the tasks, which were previously performed by employees, by building deep learning models.
Prepared datasets from Relational Databases using Pandas, Numpy, and SQL.
Built Document Classifier model using Tensorflow and Natural Language Processing. Accuracy ~ 78.82%.
Trained Custom Entity Recognition Models using Spacy. Accuracy ~ 84.32%.
Created and hosted APIs for the above models using Flask