Name: Aayush Sharma

Job Role: AI & Backend Developer

Experience: 1.5 Years

Address: Lucknow, India

Skills

Machine Learning 95%
Backend Development 90%
Natural Language Processing 85%
LLM & Agent Systems 80%
Cloud Services (Azure, AWS) 75%
CI/CD & DevOps 70%

About

About Me

I am a passionate Software Developer specializing in backend engineering, cloud infrastructure, and AI-powered solutions. Currently, I'm an SDE Intern at Super.Family, where I work on developing robust APIs using Node.js and FastAPI, automating CI/CD pipelines, and managing cloud deployments on Azure. My work is driven by a deep interest in solving complex problems through scalable backend architectures and intelligent systems. I have hands-on experience with RAG-based AI applications, LLM integrations, and tools like CrewAI and LangChain. My key projects include building NAWAB AI, a chatbot that enhanced city insights engagement by 30%, leading the development of LALLAN v1, a scalable RAG architecture handling over 20,000 requests, and designing a multi-agent Market Research AI system that produced 20+ real-world use cases. With a strong foundation in cloud platforms (Azure, AWS), containerization (Docker), and database systems (PostgreSQL, MySQL, VectorDB), I'm continuously learning and evolving to stay ahead in the fast-paced tech landscape.

  • Profile: AI & Backend Developer
  • Domain: Medical, Education & E-Commerce
  • Education: Bachelor of Technology
  • Language: English, Hindi
  • Frameworks: FastAPI, NodeJs, GCP, Azure, AWS, CI/CD, Docker, TensorFlow, Keras, PyTorch, Hugging Face, Large Language Models, Retrieval Augemented Generation, LangChain, LLama Index & Scikit-learn
  • Other Skills: Cloud, Vector DB, Excel, Git, Docker, Data Analytics & SQL
  • Interest: Traveling, Anime, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

I'm a backend-focused Software Developer passionate about building scalable systems, cloud-native solutions, and AI-powered applications. With hands-on experience in Node.js, FastAPI, Azure, and LLM-based architectures, I thrive on solving real-world problems through intelligent engineering.

Experience


Dec 2024 – Present

Software Development Engineer

Super.Family (Remote)

Contributing to the development of a Nutrition and Health Insight Tracking App, integrating real-time health data with intelligent backend systems.

  • Built and optimized 60+ RESTful APIs using Node.js and Express, integrated with PostgreSQL via Prisma ORM for robust data handling.
  • Designed 2+ microservices in FastAPI, including an AI-powered Meal Plan Generator and personalized Insight Generator.
  • Integrated health data from Google Fit and Apple HealthKit for seamless metric analysis.
  • Engineered a multimodal meal log system supporting text, audio, and image inputs for a rich user experience.
  • Deployed 5+ services on Azure using GitHub Actions and Azure App Service Build Service, enabling automated CI/CD and scalable cloud operations.

Apr 2024-Present

Volunteer / Speaker

Lucknow AI Labs

Lucknow AI Labs is a vibrant open-source community where industry experts mentor and guide freshers and enthusiasts, helping them navigate and excel in the dynamic world of AI.

  • Led an online session at SRMCEM, Lucknow on AI/ML and RAG-based applications, bridging theory with practical use.
  • Presented on machine learning basics and real-world applications at SR Institute, Lucknow, enhancing attendees' understanding of ML..
  • Key contributor to "Rag N Rock" in developing LALLAN v1 – Beta, driving innovation in AI applications.



Education


2021-2025

Bachelor of Technology

Dr. APJ Abdul Kalam Technical University

GPA: 8.0 / 10.0

2019-2020

Higher Secondary School

RLB MEM Senior Secondary School

PCM: 92.6%

Projects

Projects

Below are the sample projects on ML, NLP, Deep Learning & Web Scraping

Market Research AI Agent

Developed a multi-agent system using CrewAI to generate 20+ industry-specific AI/ML use cases, backed by real-time research and automated dataset linking.

LALLAN v1-Beta

Lucknow Artificial Language and Learning Assistance network, a RAG based chatbot build for the city for Lucknow

Sentiment Analysis using Machine Learning Algorithms

Performed natural language processing using machine learning algorithms to predict sentiment of a person.


Internship Scraper

Developed a Internship scraper python web-app which scrapes internships for you according to your needs.

Employee Churn Prediction and Analysis

Used a Kaggle Dataset for churn prediction and analysis

0 LeetCode
0 Projects
0 Connections
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Lucknow, India

Contact Number

+91 9119685151

Email Address

aayush9119@gmail.com

Download Resume

resumelink



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