Ukant Jadia

Ukant Jadia

Backend & AI Engineer · Team Lead, Caprae Capital

Caprae Capital

Sir Padampat Singhania University

Biography

They said I can’t. UKANT did.

AI can ship. I make it earn.

I’m Ukant. I lead backend engineering at Caprae Capital, an M&A firm. I own the backend, the Stripe integration and the AWS infrastructure, and I lead the DB and Email teams. I build with AI every day, and my job is to turn vibe code into production code.

The numbers I’m willing to defend: API latency dropped from 2 seconds to 20 ms (100x faster). Docker images went from 1.5 GB to 220 MB (87% smaller). Both shipped, both still running.

Before Caprae, I built enterprise data pipelines at Mente Consultancies in SAS and SAS Viya for a banking client: Calendar and Rebase Marts, statistical variables, and dashboards that improved data quality by 25% and cut drift by 30%. Before that, an IEEE paper on cardiac ECG classification: six months of work, 80% accuracy and 90% ROC-AUC, the best of six models on the PTB-XL dataset.

I learn by breaking things and rebuilding them. Two years on a riced DWM, tmux and nvim setup will do that. I share what doesn’t work as readily as what does, and I’d rather ship something rough than wait until it’s perfect.

I write Steal Like an Engineer: a feature from a famous product, the trick behind it, and how my team used the same idea.

What I want is direct: meaningful work, freelance independence, and money. The kind of money that helps my family. Hiring is secondary. I’m building.

📍 Udaipur, India · IST · Remote-first

Interests
  • Backend Architecture
  • AI Engineering
  • Distributed Systems
  • Software for M&A and Deal Sourcing
Education
  • BTech in Computer Science and Engineering with AI & ML, 2024

    Sir Padampat Singhania University

  • High School in Mathematics, Physics and Chemistry, 2020

    Oasis Sainik School

Stack

What I use in production. Numbers attached where they matter.

language
Languages

Python (daily) · SQL · Dart · Bash · TypeScript (learning)

framework
Backend & APIs

REST · Microservices · Stripe · SSO · 100x latency wins (2s→20ms)

database
Databases

DynamoDB · SQL (multi-tenant 3NF) · Redis · MySQL

platform
DevOps & Cloud

AWS (EC2, Route53, DynamoDB, S3, ECR) · Docker (87% shrink) · CI/CD · Nginx · systemd

miscellaneous
ML & Research

TensorFlow · Keras · MLFlow · scikit-learn · SAS Viya · IEEE-published

Experience

 
 
 
 
 
Backend Engineer & Team Lead
January 2026 – Present Remote
  • Own the entire backend, Stripe integration, and AWS infrastructure for Caprae’s production services.
  • Lead the DB and Email teams; built multi-tenant architecture with 3NF design and matrix-based workflows.
  • Designed a modular email generation engine with template variables, feedback capture, copy tracking, and DB-linked performance monitoring.
  • Cut API response time 2 s → 20 ms (100x faster) and Docker image 1.5 GB → 220 MB (87% smaller).
  • Stack: Python · AWS (EC2, Route53, DynamoDB, Lightsail, S3, ECR) · Docker · Redis · Nginx · systemd · CI/CD · Stripe · Microservices.
  • Joined Oct 2025 as Junior Backend Engineer; promoted to Backend Engineer & Team Lead Jan 2026.
 
 
 
 
 
Data Scientist (Intern → Full-time)
July 2024 – January 2025 Delhi
  • Designed Python systems for rolling feature updates, signature storage, and real-time predictions without database dependency.
  • Built Calendar and Rebase Marts in SAS for a banking client, restructuring time-series data and improving data quality by 25%.
  • Developed statistical variables in SAS Viya and Visual Analytics dashboards that reduced data drift 30%.
  • Stack: SAS · SAS Viya · Python · SQL · PowerBI · Statistical Analysis.
 
 
 
 
 
SWE Intern
May 2023 – August 2023 Udaipur
  • Contributed to live project Gradding using Flutter, Dart, and Figma.
  • Designed intuitive onboarding with questionnaires and document uploads, handling return cases seamlessly.
  • Conducted in-depth market research on competing applications, analyzing features and identifying gaps to streamline onboarding app development by 25%.

Accomplish­ments

Automate the Boring Stuff with Python Programming
A course by Al Sweigart(author) itself, following the pages of book Automate the Boring Stuff with Python Programming
See certificate
Data Science
Analyse and interpret the large data and apply Machine learning
See certificate

Projects

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A Beginner’s Guide to DevOps with Terraform and GitHub
This post introduces the foundational concepts of DevOps and provides hands-on experience using GitHub and Terraform to build a CI/CD pipeline.
A Beginner's Guide to DevOps with Terraform and GitHub
ECG-Lense: Cardiac ECG Classification (IEEE Published)
IEEE-published deep learning model for cardiac ECG classification on PTB-XL: 80% accuracy, 90% ROC-AUC, best of 6 models tested.
ECG-Lense: Cardiac ECG Classification (IEEE Published)
Super Market Data - A In-Depth EDA
EDA with insights and presentation slide on Super Market Data
Super Market Data - A In-Depth EDA
Food Image Classification
A project with MLOps approach - Classifying between food and non-food image
Food Image Classification
OBE Module for University
A web portal for OBE Implementation in university
OBE Module for University
Bloom’s Taxonomy Level Detection
Detecting Bloom’s level of given input statement out of six levels
Bloom's Taxonomy Level Detection
A MLOps Project- Wine Quality Prediction
A project implemented using MLOps techniques and procedure
A MLOps Project- Wine Quality Prediction
Travel Tales AI
A Travel Chatbot build with OpenAI API key in Flutter
Travel Tales AI
Smart Loan Model
Machine Learning Model for classifying whether to give loan or not
Smart Loan Model
Image Manipulation using OpenCV
Implemented core concept of image manipulation
Image Manipulation using OpenCV
Exploratory Data Analysis - COVID-19 Data
Doing EDA on India geographical dataset of COVID-19
Exploratory Data Analysis - COVID-19 Data
A Twitter Bot- WiseMonkey77
A twitter bot to automate the tweet in each 24 hrs
A Twitter Bot- WiseMonkey77

Gallery

Contact

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