Krishnakanth Alagiri

Krishnakanth Alagiri

I build and break code for kicks, so your production runs without glitches.

What’s New

Recent releases, talks, and things I’ve shipped.

What I work on

Agentic, retrieval, and recommendation systems. Built backend-first and cloud-native.

Agentic SystemsBackend APIsEmbedding & RetrievalRecommendation SystemsProduct EngineeringCloud-NativeRAGGraphRAGKnowledge GraphsLLMOpsModel ServingDistributed SystemsDeveloper ToolingObservability

Experience

Simplify Jobs

Founding Software Engineer

Simplify Jobs

Current
August, 2025β†’Present
San Francisco, CA, USA
  • β€’Simplify Jobs is a YC-funded, high-traction AI-native recruiting infrastructure startup powering automated job search for early-career talent and top tech employers.
  • β€’Building next-gen Job Search and Recommendation Platform. Get hired. Join Simplify!
Consulting/Contract

AI Engineer

Consulting/Contract

2025β†’August, 2025
Seattle, WA, USA
  • β€’Worked with multiple early stealth startups and businesses to take LLM and agent workflows from 0 to 1, shipping production-ready systems.
Mattoboard

Founding Software Engineer

Mattoboard

December, 2024β†’March, 2025
United States
  • β€’Built an agentic LLM-powered crawler that autonomously ingests external sources to extract and structure product and inventory data for semantic search and retrieval.
  • β€’Built cloud pipelines for GPU inference and serverless 3D rendering workflows.
Purdue University

Research Assistant

Purdue University

2023β†’July, 2024
West Lafayette, IN, USA
  • β€’Led a project (Chat Analysis Triage Tool) sponsored by a Department of Justice grant, collaborating closely with the high tech crime unit to detect social-network crimes in real-time using Open Weight LMs (llama2), BERT-based Authorship Attribution Models, and a BERT-SVM classification model for risk scoring.
  • β€’Optimized request throughput with efficient Backend APIs, Kafka for high-volume data ingestion, and MLOps pipelines for model fine-tuning and deployment, while complying with OWASP and Data Privacy policies.
Wiley Edge

Software Development Engineer

Wiley Edge

2021β†’2022
Bengaluru, India
  • β€’SDE Consultant for Morgan Stanley: Developed a solution that synchronizes tickets across ITSM platforms like Jira and ServiceNow using Word2Vec embeddings, decision trees, and a Jinja2 Rule Engine to automate the discovery and mapping of involved parties, teams, and projects. This resulted in a 40% reduction in Mean Time to Acknowledge (MTTA) and a 15% reduction in Mean Time to Resolve (MTTR).
  • β€’Key contributions included developing the REST API backend and React frontend as microservices, improving test coverage, streamlining CI/CD pipelines, deploying with OpenShift Kubernetes Engine, and observability using Prometheus, Loki, & Grafana.
Ericsson

Machine Learning Engineer Intern

Ericsson

2020β†’July, 2021
Chennai, India
  • β€’Implemented a system to track and search for named entities in legal documents by leveraging language modelling (BERT) and federated machine learning, resulting in increased privacy, GDPR compliance and efficient business-vendor document exchange.
  • β€’Implemented the user interface with React/TypeScript to enable intuitive document querying.
Bhumi NGO

Program Lead

Bhumi NGO

2019β†’2019
Chennai, India
  • β€’Drove a 6-member team under Tech4Change to provide technical consulting for NGOs. We set up donation portals and automation workflows, and integrated third-party tools for email, ads, and social media campaign management. I helped NGOs design campaign processes, build dashboards to track conversion and performance, and improve technical literacy so they could operate independently. I also connected them to relevant grants and sponsorship resources to reduce ongoing technology costs.
Bhumi NGO

Software Development Engineer Intern

Bhumi NGO

2019β†’2019
Chennai, India
  • β€’Engineered a cloud-native donation platform and a crowd-sourcing platform for graphic designers within the organization.
  • β€’Piloted the migration of legacy on-premises systems to the cloud and set up monitoring and alerting.

Education

2022 - 2024β€’West Lafayette, IN, USA

Master of Science in Computer and Information Technology

Purdue University

Natural Language TechnologiesData Privacy and SecurityIT Project ManagementCloud InfrastructureHuman-Computer InteractionResearch Methods in Computing
Chennai, India

Bachelor of Engineering in Computer Science

Sri Venkateswara College of Engineering, Anna University

Data Structures and AlgorithmsCloud ComputingOperating Systems and KernelsComputer ArchitectureData AnalyticsDatabases

Achievements & Awards

National Finalist at Smart India Hackathon

AICTE, Government of India

August, 2020

First Place at Smart Finance Hackathon

Daksh, SASTRA University

February, 2020

Third Place at Hack and Tackle 1.0

SSN College of Engineering

Feburary, 2019

Third Place at St. Peter's Hack

St. Peter's College of Engineering and Technology

March, 2019

Get in Touch

Hiring, open source collabs, hackathon sponsorships, or just a wild idea you want to riff on. Let's talk.