KP

Krishna Prasanth Sridhar

AI Product Engineer

LLM Engineering  ·  RAG Systems  ·  AI Agents  ·  Full Stack

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About Me

Building Intelligent Systems with LLMs, RAG & Agents

I'm an AI Engineer specializing in building production-grade systems that leverage Large Language Models, Retrieval-Augmented Generation, and autonomous agent architectures.

From designing multi-step RAG pipelines with semantic search and re-ranking, to orchestrating multi-agent workflows with LangGraph and tool-calling APIs — I build AI systems that actually work in production.

I pair deep AI expertise with full-stack engineering (Next.js, Node.js, Python) to ship complete, polished products — not just demos.

Core Expertise:

  • ▹LLM engineering with OpenAI, Anthropic Claude, and open-source models
  • ▹RAG pipelines with vector databases, embeddings, and semantic retrieval
  • ▹Agentic systems: tool calling, multi-agent orchestration, memory layers
  • ▹Full-stack AI product development from API to deployed UI

3+

Years Engineering

15+

AI Tools & Frameworks

5+

AI Systems Shipped

3.83

GPA

Contact Information

Chicago, Illinois, US
+1 312-843-2216
krishnasridhar2807@gmail.com

Technical Skills

LLM Engineering

OpenAI GPT-4Anthropic ClaudeGeminiLLaMAMistralHuggingFacePrompt EngineeringFine-tuning

RAG & Vector Search

LangChainLlamaIndexPineconeChromaDBFAISSWeaviateOpenAI EmbeddingsSemantic Search

AI Agents & Orchestration

LangGraphAutoGenCrewAITool CallingFunction CallingMulti-Agent Systemsn8nAgentic Pipelines

Full Stack Development

Next.jsReactNode.jsTypeScriptPythonFastAPIREST APIsGraphQL

Databases & Backend

PostgreSQLMongoDBSupabaseMySQLRedisVector Stores

DevOps & Cloud

VercelAzureDockerGitHub ActionsGitPlaywrightPytest

AI Projects

Multi-Agent · LangGraph · Automation

Job Application Agent

Architected a multi-agent pipeline using LangGraph to orchestrate job search, ATS scoring, resume tailoring, and automated job application submission end-to-end. Built an ATS scoring agent using the Claude API to evaluate resume-to-job-description alignment across four dimensions, filtering out roles below 60% match. Integrated dual LLM support (Claude Sonnet + GPT-4o) with automatic fallback, and automated LinkedIn Easy Apply workflows using Playwright.

Claude API · ATS ScoringDual LLM FallbackLinkedIn Automation
LangGraphClaude APIGPT-4oPlaywrightNext.jsPostgreSQLSupabaseGoogle Cloud Run
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AI Project Management · Full Stack

FlowPilot

Engineered an AI-powered planning agent using GPT-4 to automatically break down project goals into actionable tasks and epics, reducing manual planning time by ~80%. Implemented three specialized AI agents (planning, summary, risk detection) for daily status reports. Built an interactive React Kanban board with drag-and-drop, GitHub webhook integration for auto-closing tasks on PR merge, and a multi-tenant auth system with role-based access control.

3 Specialized AI AgentsGitHub Webhook SyncRole-Based Access
OpenAI GPT-4Next.jsReactPostgreSQLPrismaNextAuth.jsGitHub OAuthGitHub Webhooks
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Work Experience

AI Product Engineer Intern

AIFS | Naperville, Illinois

June 2025 - August 2025

  • ▹Led end-to-end product development, designing, building, and deploying AI-powered applications using machine learning and Generative AI — delivering production-ready solutions with a focus on scalability, usability, and performance.
  • ▹Built full-stack applications with strong expertise in backend development and intuitive UI/UX design, ensuring seamless integration of AI models into user-facing systems.
  • ▹Translated concepts from ML research papers into practical implementations, enabling innovation in model design and improving accuracy and efficiency of AI solutions in production.
  • ▹Independently shipped AI products across the full lifecycle, maintaining a portfolio of projects showcasing expertise in NLP, computer vision, and generative AI.
  • ▹Collaborated with stakeholders to understand workflows and business logic, applying strong problem-solving skills and an entrepreneurial mindset to drive innovation.

Software Engineer

GOWEBEZ – Inflowcare & Language Dynamic Groups | Chennai, India

March 2021 - December 2023

  • ▹Built healthcare-focused machine learning models using Scikit-learn, XGBoost, and Random Forest — computing patient risk predictions and managing clinical datasets to improve diagnosis accuracy.
  • ▹Analyzed structured and unstructured healthcare data using SQL Server and MongoDB, applied unsupervised learning and clustering techniques to identify disease patterns and support population health management.
  • ▹Developed deep learning solutions using Keras and PyTorch for NLP and computer vision use cases, modifying neural network architectures to improve clinical text analysis and medical imaging interpretation.
  • ▹Implemented end-to-end pipelines on Azure Machine Learning and Databricks, applying MLOps, version control, and CI/CD to ensure scalable, compliant, production-ready healthcare AI systems.
  • ▹Collaborated with clinicians and analysts to design experiments, performed statistical analysis and A/B testing, and researched Generative AI and agentic applications to enhance patient engagement.

Education

Illinois Institute of Technology

Master's Degree

Information Technology & Development (Web Design & Application Development)

January 2024 - December 2025

GPA: 3.83

Dhanalakshmi College of Engineering

Bachelor of Engineering

Electrical, Electronics and Communications Engineering

2017 - 2021

Let's Build Something with AI

Need an LLM integration, RAG system, or agent pipeline built? Open to full-time roles, freelance projects, and AI consulting. Let's connect.

Email

krishnasridhar2807@gmail.com

LinkedIn

Connect with me

GitHub

View my projects