About

I’m Aayush Shah, an AI/ML Engineer and Full-Stack Developer with 1.5 years of experience at Citi, building intelligent, scalable systems at the intersection of Machine Learning, NLP, and Enterprise Software. I’ve built impactful AI-driven tools like an Auto Form Tagging Utility, cutting processing time from 3–4 hours to 4 minutes, and a RAG-based chatbot using Google Gemini API + Pinecone. My work spans Java, Angular, Spring, and modern ML frameworks like PyTorch, TensorFlow, and LangChain. I'm certified in Computer Vision & Deep Learning from OpenCV University (98%) and currently pursuing an Advanced AI for Digital Health & Imaging program from IISc, focused on medical imaging and neuro-AI applications. Past internships include deep learning R&D at IGI, where I boosted model accuracy to over 90%, and backend performance engineering at Barclays. I’m passionate about using AI to create real-world impact, especially in healthcare, automation, and document intelligence—and I bring a strong foundation in ML systems, computer vision, and full-stack product development.

  • Birthday: 17th June 2001
  • Phone: +91 8879090901
  • City: Pune,India
  • Email: 2001aayushshah@gmail.com

Interests

Software Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

B.Tech - Information Technology     2019 - 2023CGPA : 8.23/10

Relevant Coursework
  • Image Processing
  • Machine Learning
  • Design & Analysis of Algorithms
  • Cloud Computing
Extra Curiculars
  • RA @ CDRC LAB'23
  • SIH-22 Finalist
  • ECell Event Head'21
  • I.T. Relay Team
  • Manager-Technovanza

Advanced Certificate in AI for Digital Health and Imaging 2024-25

Coursework
  • Medical Imaging
  • CT/ MRI Reconstruction
  • Wearable Devices
  • Hl7 , Dicom Images , EHR
  • AI and ECG
  • Neuro Imaging

Computer Vision & Applications of Deep Learning 2024 Credits:98%

Projects
  • SnapChat Filter
  • Virtual Makeup
  • Face mask Detector using YOlov3
  • Automatic Number Plate Recognition
  • Celebrity doppelganger
  • Radiology AI using TensorFlow

Certifications

Winner - Citi Wealth hackathon

Azure Cloud Services

Computer Vision and Deep Learning Applications

Angular

Excel Skills for Business

LLms Mastery

Neural Networks and Deep Learning

Experience

Citi

July 2023 - Present

Software Engineer

  • Delivered an Auto Form Tagging Utility, leveraging NLP & Deep Learning to predict field values, cutting latency from 3-4 hrs to 4 mins. Boosted model accuracy to 88% by leveraging BERT vectorization ,iterative model design and MLops . Integrated passive retraining pipeline to leverage human feedback received on predicted results .
  • Designed RAG based chat bot for Citi Onboarding Platform using Google Gemini API and pinecone vector DB .
  • Enhanced Citi’s Tradelink Mutual Funds platform with over 30 enhancements across Spring Microservices backend, Angular-based micro frontends, MongoDB / SQL databases.Experienced in entire SDLC pipeline.
  • Delivered email and report features as a backend developer used by 10,000+ users for MF Revamp project
  • ProjectPlus(GenAI -I) - Introduced two variants of LLM - based Document Classifiers using few shot learning , Langchain, vector DB,python and prompt chaining Citi Junior Analyst Council- Finalist.
  • WINNER - Citi Wealth hackathon’24 - Built an Angular-based web component to capture user journeys via screenshots, console logs, failed network calls, streamlining incident reporting by 80% with BERT’s semantic similarity

Barclays

06th June 2022 - 29th July 2022

Software Developer Intern

  • Enhanced website performance by Engineereing a Python-based machine learning utility to parse user logs, ,identify error occurrence patterns to manage production support.Executed over 100 Spring - Java based Code quality enhancements
  • Developed 10 ELK based dashboards for better analysis of user journeys for product owners over Barclays portal.
  • Delivered a presentation on Barclays’ Cloud Migration Strategy and spearheaded a team-building event across BU.

International Gemological Institute(IGI)

Feb 2022 - June 2022

Computer Vision(AI) Intern

  • Designed optimal hardware for capturing light-sensitive images, developed data pipeline and Deep Learning based models for Diamond Color Detection ,support software for hardware operation, monitoring and visualization tools.,support software for hardware operation, visualized results. Hands on experience through ML Lifecycle from EDA to model deployment . Primary Tech: PyTorch , OpenCv,Python
  • Enhanced accuracy from 68% to above 90% for natural diamonds , 88% for tinge & Lab grown diamonds .
  • Pioneered initial research and POC for Clarity based Assorting using traditional ML algorithms.

Control Dynamics and Research Lab - VJTI

March 2023 - May-2023

Research Assistant

  • Conducted preliminary research over applications of Graph Neural Networks to enhance Power System’s performance.

Projects

  • All
  • Web-App
  • Project

ProfitSense | Deep Learning ,ML, Python

Graphify - NLP,BERT

Setitup – A Dating Website

ForSale – property explorer page

CreativeInk-personal BLogs

Power prognosis – Deep Learning

Power prognosis


Hotel Management Systems | Java

LIC policy Manager | Desktop Application

Digit Recognizer


Face Recognition using DLIB and OpenAPI


Snapchat Filters


OCR


SMILE DETECTION using Opencv


Automatic Number Plate Recognition


Celebrity doppelganger Application


Virtual Makeup Application


Grounding Dino + SAM based roboflow's Automatic Annotation

Skills

Languages and Databases

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Frameworks

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Tools

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Contact

Location

Mumbai , India

Social Profiles

Email

2001aayushshah@gmail.com

ajshah_b19@it.vjti.ac.in

Contact

+91 8879090901