Krishnakanth Alagiri | Software Engineer

Hello! I am Krishnakanth Alagiri

I'm a graduate student with demonstrated experience in working with a wide variety of technologies. I take a more creative and conceptual approach to solving any problem. My team-building and collaboration skills help me grow with the people around me.

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Three words that describe my qualities

Krishnakanth - Dynamic


Being an energetic person, I enjoyed hacks and running a club. They have always urged me to outgrow myself with the community around me.

Krishnakanth - Community


I believe inspiration is the key ingredient for cultivating collective accountability and leading teams to success.

Krishnakanth - Constructive


We rise by lifting others. My team-building and collaboration skills help me grow people around me.


Master of Science in Computer and Information Technology

Purdue University

2022 - 2024

Course Work: Natural Language Technologies, Deep Learning Security and Privacy, Information Technology Project Management

Bachelor of Engineering in Computer Science

Sri Venkateswara College of Engineering, Anna University

2017 - 2021

Course Work: Programming and Data Structures, Design and Analysis of Algorithms, Cloud Computing, Operating Systems and Kernels, Computer Architecture, Internet Programming, Software Engineering, Data Analytics, Mobile Computing, Discrete Mathematics, Discrete Mathematics, Databases and Management Systems, Machine learning, Artificial Intelligence

Work Experience

Graduate Research Assistant

Purdue University

January, 2023 - Present
  • Experimenting with natural language processing techniques to analyze conversations between minors and child predators to determine which adults are most likely to be "contact offenders", that is, people who seek to meet kids in person.

Graduate Teaching Assistant

Purdue University

August, 2022 - December, 2022
  • Graduate Teaching Assistant for CNIT 27200 - Database Fundamentals. Conduct lab sessions and reinforce lectures for over 120 students. The course focuses on relational database concepts including data design, modelling, and normalization including the use of SQL to define, manipulate, and test the Oracle database.

Software Engineer (FTC, Morgan Stanley)

Wiley Edge

July, 2021 - July, 2022
  • As a full-time consultant for Morgan Stanley, I work from development to deployment (end-to-end) for adopting new technologies (Cloud, Kubernetes) and implementing appropriate security controls.
  • Engineered tools to automate incident management across vendor ticketing applications to reduce response times by 75 percent.
  • Operated under the Enterprise Security Platforms (ESP) team within DART (DevOps, Architecture, Research and Tooling) chapter to develop foundational solutions that bridge cloud-native environments with core on-premises solutions.

Research and Development Intern


Dec, 2020 - July, 2021
  • Worked under the Data Office
  • Researched and conceptualized a distributed ontology system for legal documents using federated learning and natural language technologies to manage legal instruments among businesses and third-party vendors without risking privacy.
  • Developed distributed systems for stylistic interventions in distressing Images to reduce the emotional impact on content moderators.

Cloud Engineer Intern

Scholarly Science

May, 2020 - June, 2020
  • Optimized containers, QA test environments and CI/CD pipelines to reduce build duration by at least 50 percent.
  • Implemented a CI/CD pipeline connecting Gitlab, Docker, Jenkins, and PyTest for a complete automated delivery cycle.

Program Lead

Bhumi NGO: Tech4Change

July, 2019 - Dec, 2019
  • Tech4Change is an initiative to engineer solutions and provide technical counsel to charitable organisations.
  • Coordinated a 6-member team that built tools and counseled NGOs to blend technology into their operational strategy.
  • Managed the monitoring and alerting of deployed production servers using the Cloud Watch service.

Software Engineer Intern

Bhumi NGO

June, 2019 - July, 2019
  • Engineered a cloud-native donation platform and a crowd-sourcing platform for graphic designers within the organization.
  • Piloted the migration of multiple legacy on-premises systems to Amazon Web Services (AWS) largely using EC2, IAM, and S3.
  • Setup metrics, monitoring, alert systems using Grafana and Prometheus.


Finalist at Smart India Hackathon (2020)

AICTE, Government of India

August, 2020

Nominated as a National finalist for Smart India Hackathon (2020) under RK59 by Bureau of Police Research & Development.

First Place at Smart Finance Hackathon

Daksh, SASTRA University

February, 2020

Our Offline Digital Payment System was awarded first place by PayPal in Smart Finance Hackathon - Daksh, a 30-hour Hackathon Conducted by SASTRA University.

Third Place at Hack and Tackle 1.0

SSN College of Engineering

Feburary, 2019

Our model for Psychological Analysis Of Text Messages was awarded third place in Hack and Tackle 1.0, a 24-hour Hackathon Conducted by IEEE Student Branch of SSN College of Engineering with 1200+ participants.

Third Place at St. Peter’s Hack

St. Peter’s College of Engineering and Technology

March, 2019

Our Report Analysis System was awarded in St. Peter’s Hack, a 12-hour Hackathon Conducted by St. Peter’s College of Engineering and Technology, Chennai.


Lab Member

AKRaNLU Lab, Purdue University

August, 2022 - Present

Applied Knowledge Representation & Natural Language Understanding (AKRaNLU) is research team of students and faculty in Purdue University working on Natural Language Understanding problems.

Lead Instructor - Programming and Data Structures

Sri Venkateswara College of Engineering

August, 2019 - February, 2021

I was assigned to combat a lack of technical diversity within my college by running weekly classes for students from all departments across the college to increase their knowledge on Programming and Data Structures.


SVCE ACM Student Chapter

June, 2020 - June, 2021

I had the overall responsibility for developing chapter programs, for ensuring that plans and assignments are carried out, and for seeing that the chapter fulfills its obligations to the Association for Computing Machinery (ACM).

Membership Chair

SVCE ACM Student Chapter

June, 2019 - June, 2020

A membership chairperson develops, sustains and leads change related to the student chapter. Researching similar courses in like-minded organizations and coordinating events form a part of the administrative duties of the membership chairperson.

School Pupil Leader

Velammal Vidyalaya

May, 2015 - June, 2016

School Pupil Leader is a prominent representative student responsibility. Acted as a liaison to the students, parents and teachers.

Things I know


Krishnakanth - Python  Krishnakanth - Go  Krishnakanth - Java  Krishnakanth - JavaScript  Krishnakanth - HTML5  Krishnakanth - CSS3  Krishnakanth - PHP  Krishnakanth - C++  Krishnakanth - Linux/GNU Bash 

Tools, Libraries and Frameworks

Krishnakanth - Docker  Krishnakanth - Kubernetes  Krishnakanth - SonarQube  Krishnakanth - Jenkins  Krishnakanth - TravisCI  Krishnakanth - Spring  Krishnakanth - Apache Spark  Krishnakanth - SciKit-Learn  Krishnakanth - Pandas  Krishnakanth - NumPy  Krishnakanth - PyTorch  Krishnakanth - Tensorflow  Krishnakanth - OpenCV  Krishnakanth - PyTest  Krishnakanth - Selenium  Krishnakanth - Flask  Krishnakanth - FastAPI Framework  Krishnakanth - Grafana  Krishnakanth - Git  Krishnakanth - AWS 


Krishnakanth - MySQL  Krishnakanth - MongoDB  Krishnakanth - InfluxDB  Krishnakanth - CouchDB 

Feature Works

Krishnakanth - Pun Recommendation System

Pun Recommendation System

An Alexa Bot that recommends puns on any given topic from a dataset using articulatory phonetics with weighted Levenshtein distance for sound similarity, and BERT for sense similarity (understanding meaning).

Krishnakanth - Self-Hosted Authenticator

Self-Hosted Authenticator

A tool for generating time-based one-time passwords (TOTP) for services requiring multi-factor authentication (MFA) with support for cloud backups and encryption. Self-hosted alternative for Google Authenticator.

Krishnakanth - Simple Secrets Manager

Simple Secrets Manager

A lightweight dockerized system for secure storage, and delivery for tokens, passwords, API keys, and other secrets using HTTP API, Swagger UI or Python Package. Developed to be simplified alternative for Hashi Corp Vault.

Krishnakanth - Deep Learning Based File Encryption Technique

Deep Learning Based File Encryption Technique

Developed a system to encrypt any file into an image using a Deep Convolutional GAN (DCGAN) to hide the image into real-world-like generated images. Performed decryption with dynamic model latent space as a key.

Krishnakanth - Cyber Offense Detecting and Reporting (CODAR) Framework

Cyber Offense Detecting and Reporting (CODAR) Framework

Automated internet moderation using text toxicity prediction (BERT) and obscene image classification (fine-tuned RESNET50) with 88% and 91% accuracy respectively. Curated a dataset of 330,000 images for classification.

Krishnakanth - Offline Digital Payments

Offline Digital Payments

Conceptualized the usage of Closed Blockchain networks with close proximity communications to enable offline transactions while complying with RBI e-transaction standards (such as 2FA). Primarily intended for disaster affected and rural regions.

Krishnakanth - Resource and Event Management System (REMS)

Resource and Event Management System (REMS)

An unified system for certificate generation and distribution, volume mailing, advanced form generation, mailing lists, monitor databases and a link shortener for small organisations/clubs.

Krishnakanth - Sign Language Translator

Sign Language Translator

Built a translator using Convolutional Neural Networks (CNN) to classify signs with over 86% accuracy. The application was able to understand the variations among different national and regional sign languages dialects through crowd-sourcing.

Krishnakanth - Psychological Analysis Of Text Messages

Psychological Analysis Of Text Messages

Compiled and forecasted the emotional changes against a series of text messages using Multi-class Sentiment Analysis with BERT.

Contact me


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