Hey!

YajatMalhotra

Software Engineer

Software engineer based in Los Angeles, working across software development, AI/ML, and generative AI.

01About

A bit about me

I’m a software engineer based in Los Angeles, currently pursuing my MS in Computer Science at UCLA, with a soft spot for the places where machine learning meets well-crafted software.

My main interests are deep learning and NLP, but I’ve shipped across the stack — backend services, Android apps, and modern web. I like turning research-y ideas into things people can actually use.

Based in

Los Angeles, USA

Focus

Deep Learning & NLP

Education

M.S. in Computer Science, UCLA

Interests

AI/ML · Backend · Android

02Experience

Where I’ve worked

Full history→

Wells Fargo

Software Engineer

August 2025 — August 2026·Bangalore, India

Led the design and development of new Salesforce CRM features for Wealth and Investment Management (WIM), including prospect and household management capabilities, enabling Financial Advisors to manage clients, prospects, households, and related parties seamlessly.

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Part of the WIMT Generative AI team, developing innovative GenAI applications while also governing safe and effective usage of Generative AI across Wealth and Investment Management. Additionally, I hosted a WIMT GenAI Hackathon to encourage innovation and collaboration within the line of business.
Designed, architected, and delivered multiple Generative AI applications, including:
1. AI Agent platform integrating with Salesforce, Splunk, OracleDB, Confluence, and other systems via Model Context Protocol (MCP), enabling faster triaging and resolution of production issues.
2. AI-driven financial advisory assistant combining client data, real-time market feeds, and internal research to provide personalized investment insights.
Recipient of Team Spotlight Award for delivering a major Salesforce CRM feature as part of a high-performing team.
Winner of the WIMT 2025 GenAI Hackathon for building a multi-agent chatbot with micro-frontends for Financial Advisors to interact with all our wealth management systems through one chat interface.

Program Associate

August 2024 — August 2025·Bangalore, India

Led the design and development of Salesforce CRM features for WIM, including new prospect and household management capabilities, driving the decommissioning of legacy CRM by porting critical functionality into Salesforce.

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Delivered multiple Salesforce utilities, including:
1. A highly customizable schedulable batch data purging tool.
2. A custom Activity Timeline component supporting any object type beyond default Salesforce limitations.
3. A high-volume batch migration application migrating thousands of files from legacy servers.
Designed, architected, and implemented Generative AI solutions, including:
1. GenAI-powered fee remediation system, reducing manual effort by over 60%.
2. Intelligent auto-tagging and task creation on Salesforce advisor notes to drive Next Best Actions.
Winner of Wells Fargo Technology Hackathon 2025 for a GenAI-powered orchestrator enabling intelligent email and document triage/routing.
Recognized with the Manager Spotlight Award for hard work, dedication, and commitment to leveraging cutting-edge technologies, particularly Generative AI, to deliver impactful solutions.

Technology Intern Analyst

February 2024 — June 2024·Hyderabad, India

Contributed to the modernization of Wealth and Investment Management by designing and developing an application using Spring Boot, MongoDB and Kafka, facilitating the migration of legacy applications to cloud-based solutions.

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Finalist in the Wells Fargo Global Technology Hackathon 2024, competing among 20,000+ participants. Developed a Retrieval-Augmented Generation application using Azure AI Studio, LangChain, and Python to enhance the resume matching process.
Designed and developed Salesforce components, enhancing system capabilities and improving operational efficiency.

Facctum

Machine Learning Intern

January 2024 — February 2024·Bangalore, India

Engineered a cutting-edge solution for multi-class Merchant Category Code classification of product webpages by developing a Retrieval Augmented Generation pipeline using LangChain, leveraging advanced generative AI tools and techniques such as Large Language Models (LLMs), Vector Databases, and Vector Search, resulting in improved accuracy and efficiency.

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Spearheaded the creation of visually informative merchant product webpages visualizations using UMAP, enhancing the monitoring capabilities of the merchant monitoring solution and enabling swift identification of trends and anomalies.
Designed and implemented a robust Web Crawler utilizing Apache Nutch and Apache Solr, coupled with Python for data analysis, to extract valuable insights from merchant's website, empowering stakeholders with actionable intelligence for informed decision-making.

Samsung R&D Institute India

Machine Learning Research Intern

November 2022 — August 2023·Remote

Conducted state-of-the-art research in Explainable AI in text, and developing innovative solutions with a team of researchers and engineers.

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Creating a cutting-edge Deep Learning pipeline to automatically generate text ideas and acquire Concept Activation Vectors, resulting in an improved understanding of how NLP models make decisions and their performance.

Full history→

03Selected Work

Projects I’m proud of

All projects→

Feb 2026

Inkwell: An E-Paper Smart Dashboard

Inkwell is an always-on e-paper dashboard for the desk — a 7.5" e-ink panel that wakes every few seconds, pulls a freshly rendered 800×480 image from a single endpoint, and paints the day in black and white. There is no app on the device and no UI framework anywhere: a FastAPI service fans out to weather, Todoist, market, flight, and calendar sources, then draws the entire screen pixel by pixel with Pillow — dithered patterns instead of greys, hand-placed type instead of CSS. Todos, reading progress, a live overhead-flight map, NSE/BSE movers, air quality, a monthly calendar, a daily quote, and a rotating photo all share one glanceable layout, backed by DynamoDB and S3 with JWT-scoped device tokens and a TTL cache that keeps upstream APIs from ever seeing the refresh rate.

ESP32E-Ink DisplayIoTPython

Mar 2025

Gen AI-Orchestrator for Email and Document Triage/Routing

This project automates the classification and processing of high-volume email requests, especially in domains like commercial banking where customer servicing teams manually read, sort, and respond to hundreds of emails each day. These emails often include attachments, unstructured text, and complex request types that make manual triage slow and error-prone. Our solution uses AI to classify request types, extract sub-requests, process attachments, and detect duplicate emails at scale, reducing operational overhead and improving response efficiency.

AgentLLMRAGGPT-4

Sep 2023

Gandalf: Harnessing DistilBERT Transformer and BiLSTM for Precise Website Content Classification and Blocking

The Internet has become an essential part of one’s daily life, offering vast amounts of information at one’s fingertips. However, it also presents a significant threat to young web users who may encounter inappropriate or harmful content. To address this issue, a deep learning model, named the “Gandalf Model”, is proposed for accurately identifying the type of content on a website. The Gandalf Model uses a DistilBERT Transformer and BiLSTM to classify websites into ten categories, including NSFW. The model has been trained on a large dataset of over 400,000 data entries, which has been curated and labeled for this purpose. The experimental results demonstrate that the model achieves an accuracy of 80.1%, which is better than many traditional models used in this field. The model protects young web users from inappropriate or harmful content on the Internet thus contributing to the development of effective content filtering and blocking systems. By coupling this model with a proxy server, access to websites belonging to categories as desired by the system administrators is also successfully blocked.

CybersecurityContent BlockerTransformerTensorflow

Jul 2023

PadhAI: AI-based Learning Platform

PadhAI is an innovative Learning Management System (LMS) that leverages cutting-edge technology to redefine the way we learn. Powered by the state-of-the-art GPT-4 and integrated with the dynamic YouTube API, Studcate creates personalized courses autonomously. This groundbreaking project was initiated during the CFG'23 event, hosted by JPMC, marking a significant milestone in the fusion of AI and education.

LangChainGPT-4Next.jsNode.js

Dec 2022

OurChatStory.co - #WhatsAppWrapped

OurChatStory.co is a captivating web application designed to provide you with intriguing insights into your WhatsApp chats that you can share with friends and peers. Discover fun facts about your conversations, such as who chats the most, who initiates conversations, when you are most active, and even visualize your chat history with a unique word cloud. Share your "wraps" with friends and explore the fascinating dynamics of your messaging history.

NLTKFastAPINextJSDigitalOcean

Aug 2021

VITTY: VIT Timetable App

VITTY is an Android app designed to make the lives of VIT (Vellore Institute of Technology) students more convenient. With the app, students can effortlessly access their timetables, receive timely notifications, and efficiently navigate to their classes. This project offers a simplified interface, home screen widgets, and the added convenience of keeping track of their class schedules. Catering the needs of over 25,000 users, VITTY has made class management more accessible and user-friendly, ensuring that students are always well-informed about their upcoming classes.

AndroidFirebase

All projects→

04Toolkit

Technologies I work with

My main interests are deep learning and NLP, but I’m comfortable across the stack — from research pipelines to production web and mobile.

Python

PyTorch

TensorFlow

Java

Spring Boot

Salesforce

React

Next.js

JavaScript

TypeScript

HTML

CSS

Android

Kotlin

C++

05Credentials

Education & recognition

Education

M.S. in Computer Science

University of California, Los Angeles (UCLA)

2026 — 2028 · Los Angeles, USA

B.Tech, Computer Science and Engineering

Vellore Institute of Technology

2020 — 2024 · Vellore, India

High School (ICSE & ISC)

Greenwood High International School

2018 & 2020 · Bangalore, India

Certifications

Deep Learning Specialization — deeplearning.ai
Azure Fundamentals — Microsoft
Introduction to AI — University of Helsinki
Microsoft AI Classroom Series — Microsoft

Achievements

Winner, Wells Fargo Technology Hackathon 2025 — a GenAI orchestrator for email & document triage
Winner, WIMT GenAI Hackathon 2025 — a multi-agent chatbot for Financial Advisors
Finalist, Wells Fargo Global Technology Hackathon 2024 (among 20,000+ participants)
Manager Spotlight & Team Spotlight Awards at Wells Fargo for Generative AI impact
Technical Lead of Google Developer Student Clubs, VIT
Notebooks Expert on Kaggle
Runner Up at Code for Good ’23, hosted by JP Morgan Chase & Co.
Won Bug Bounty in Apptitude (2021)
Best Freshers Award at DevSoc (2021)
Overall 2nd Winner at DevSpace (2021)
Winner at HackOff 3.0 in AI/Data Science (2020)
2nd at VIT Hack, Mobility & Automation track with MOVEL AI (2020)
Runner up, Asian level, International Space Settlement Design Competition (2018)
Multiple inter-school Tug of War championships (2018–19)

06Writing & Sessions

Sharing what I learn

Writing & sessions→

Nov 2020

Intuition behind GANs — Generative Adversarial Networks (Beginner Friendly)

GANs or Generative Adversarial Networks are a type of machine learning framework. It has two neural networks which compete against each other in a game. One is a generator, and the other is a discriminator. In this article, we will see how they work.

Deep LearningGANs

May 2022

Let's Dabble with Kaggle

Kaggle is an online community platform for data scientists and machine learning enthusiasts. Kaggle allows users to work together on data science problems, locate and publish datasets, use GPU integrated notebooks, and compete with other data scientists. In this rendition of ExploreML, we will get acquainted with Kaggle through a hands-on session of the ins and outs of the platform.

Machine Learning

Jul 2021

DSC Afterhours - Let's Talk ML

In this podcast of ‘Let’s Talk ML’, students participating will be talking about their journey in the domain of Machine Learning. Wanting to support every listener in their journey, we will put out resources that help them get started. Apart from this, we will bring forward projects that we have worked on to give the listeners an idea as to what all they can build in this domain! The podcast will be wrapped with an insight of the capacity of this domain in the near future.

Machine Learning

Writing & sessions→

Get in touch

Have a project in mind? Let’s talk.

I’m always open to interesting problems, collaborations, and conversations about AI and software.

Get in touch View résumé

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