Hi, I'm Kshitij

Data

Senior computer engineering student with hands-on experience in software development and AI/ML projects.

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About Me

My introduction
> Kshitij.education
  => "University of Amsterdam, NL"

 > Kshitij.major
  => "Computer Science"

 > Kshitij.currentRole
  => "Data Engineer at ING"

 > Kshitij.interests
  => ["travel", "fitness", "badminton"]

My current area of work and interest include AI research, particularly in Computer Vision and LLM engineering.

02+ Years
experience
20+ Completed
project
04+ Companies
worked
View Resume

Skills

My technical level

Languages

More than 4 years

Python

90%

JavaScript

70%

SQL

75%

R

80%

Frameworks

More than 3 years

Pytorch Lightning

80%

TensorFlow

75%

PySpark

70%

OpenCV

60%

ML & Data Engineering

More than 2 years

LLMs

70%

NLP

75%

ETL Pipelines

80%

Data Warehousing

60%

Tools & Cloud

More than 1 year

Azure

75%

Apache Spark

70%

Docker

80%

VS Code

90%

Qualification

My personal journey
Work
Education

ING

Data Engineer
present

TKH AI

AI Research Engineer
2024 - 2025

Gupshup

Software Engineer
2022 - 2023

Arbalest Learning

Web Developer
2021-2022

Computer Science

University of Amsterdam
2023 - 2025

Computer Engineering

NMIMS University
2018 - 2022

What I Do

Besides college

AI & Data
Engineer

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AI & Data Engineer

  • Develop AI-driven applications.

  • Leverage LLMs for data analysis.

  • Utilize Computer Vision techniques.

  • Implement scalable Big Data solutions.

Coding
Practice

View More

Coding Practice

Extra
curriculars

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Extra-curriculars

  • Representing Leiden Badminton Club in competition matches across South Holland.

  • Certified Mountaineer from Jawahar Institute of Mountaineering & Winter Sports.

Projects

Most recent work

Travel Website

Used React Hooks and React Router for this React JS Project to create a fully responsive website

Demo

Patent Image Retrieval

Improved patent image retrieval accuracy by 110% by implementing hierarchical multi-positive contrastive learning leveraging Locarno classification embeddings

Paper

Data Pipeline with Incremental Updates

Implemented and evaluated the hyper-log-log and pg-ivm libraries for incremental view maintenance in PostgreSQL

Code

Factyr - LLM Response Enhancement System

Implemented entity linking and knowledge-base fact verification modules, achieving 30% reduction in LLM hallucinations and enhancing factual accuracy

Code

Containerized Microservices Architecture

Built scalable microservices on Kubernetes with automated CI/CD pipelines, custom Helm charts, TLS encryption, and RBAC policies, reducing deployment time by 40%

Code

Travel Website

Used React Hooks and React Router for this React JS Project to create a fully responsive website

Demo

Patent Image Retrieval

Improved patent image retrieval accuracy by 110% by implementing hierarchical multi-positive contrastive learning leveraging Locarno classification embeddings

Paper

Contact Me

Get in touch

Call Me

+31 617 985 635

Email

kshitijk1505@mail.com

Location

Leiden - Netherlands