Krishnakanth Alagiri | Software Engineer

Hello! I am Krishnakanth Alagiri

Harnessing unparalleled expertise in AI, Cloud Technologies, and Scalable System Design, I excel at transforming complex technical challenges into innovative, efficient solutions that drive industry-leading advancements and operational excellence.

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Three words that describe my qualities

Krishnakanth - Dynamic


Passionate about hackathons and leading tech clubs, I thrive on community-driven growth and exceeding my technical boundaries.

Krishnakanth - Community


Driven by inspiration, I catalyze team success and accountability, transforming visions into reality with passion and precision.

Krishnakanth - Constructive


Empowering teams to excel, my collaboration skills catalyze growth and innovation, inspiring collective success.


Master of Science in Computer and Information Technology

Purdue University

2022 - 2024

Course Work: Natural Language Technologies, Data Privacy and Security, IT Project Management, Cloud Infrastructure

Bachelor of Engineering in Computer Science

Sri Venkateswara College of Engineering, Anna University

2017 - 2021

Focus: Data Structures and Algorithms, Cloud Computing, Operating Systems and Kernels, Computer Architecture, Data Analytics, Databases, Machine learning, Artificial Intelligence

Professional Experience

Software Engineer - DevOps Tooling

Wiley Edge

July, 2021 - July, 2022
  • SDE Consultant for Morgan Stanley: Engineered a rule-based automation tool integrating various ITSM software such as Jira and ServiceNow, slashing response times by 75% through innovative workflow optimizations, while contributing to API engineering, IAM, and DevOps initiatives.
  • Formulated enterprise strategies for integrating cloud-based and on-premises systems within the DART (DevOps, Architecture, Research, and Tooling) chapter, with a primary focus on Observability stack, Container Orchestration, and Ansible technologies.

Graduate Research Assistant

Purdue University

January, 2023 - Present
  • Leading the development of a Chat Analysis Triage Tool (CATT) with the Department of Justice, improving the detection of social media cybercrimes using Large Language Models. Focused on Instruction Tuning LLMs, and MLOps (versioning, deployment, and monitoring).

Graduate Teaching Assistant

Purdue University

August, 2022 - December, 2022
  • Educated 120+ students on Oracle SQL database principles. Built scalable CI/CD pipelines for automatic execution and grading of student assignments. Improved students' understanding of data modeling, database scaling patterns, and data lakes.

Research and Development Intern


Dec, 2020 - July, 2021
  • Implemented a distributed ontology system for managing legal documents by leveraging federated machine learning and language modelling, resulting in increased privacy, GDPR compliance and efficient business-vendor document exchange.
  • Implemented deep learning systems for stylistic image interventions to alleviate the emotional distress on content moderators.

Cloud Engineer Intern

Scholarly Science

May, 2020 - June, 2020
  • Optimized containerization, QA test environments and CI/CD pipelines resulting in a 50% reduction in build duration.
  • Implemented a fully automated end-to-end CI/CD pipelines utilizing Gitlab, Docker, Jenkins, and PyTest for seamless delivery.

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.


National Finalist at Smart India Hackathon

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.

Leadership & Activities

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.

Technical Proficiencies


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 

Key Projects & Contributions

Krishnakanth - ChatWatch Language Model

ChatWatch Language Model

A novel approach leveraging advanced NLP techniques (Self-Instruct, Evolv-Instruct, and Retrieval Augmented Generation) to create and evaluate a specialized Instruction Dataset aimed at enhancing the identification of predatory behavior in digital communications.

Krishnakanth - Pun Recommendation System

Pun Recommendation System

Implemented an Alexa Bot leveraging Articulatory Phonetics, weighted Levenshtein, and BERT for pun recommendations. Successfully developed sound and sense similarity using a robust database, enhancing user engagement and satisfaction.

Krishnakanth - Cyber Offense Detecting and Reporting (CODAR) Framework

Cyber Offense Detecting and Reporting (CODAR) Framework

AI internet moderation system using BERT and RESNET50, achieving state of the art performance in toxic text classification and image classification. Built scrapers for preparing a sensitive image classification dataset.

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 - Psychological Analysis Of Text Messages

Psychological Analysis Of Text Messages

Leveraged BERT for multi-class sentiment analysis to dynamically track and predict emotional shifts across text message sequences, utilizing a vector database for enhanced data handling and accuracy.

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 - 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 - 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 - Deep Learning Based File Encryption Technique

Deep Learning Based File Encryption Technique

Engineered a system using Deep Convolutional GAN (DCGAN) to encrypt files into images, embedding data within lifelike generated visuals. Decryption leverages the model's dynamic latent space as a unique key.

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.

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