Hi, I'm Sanjay Krishnan K, an Information Technology student passionate about Artificial Intelligence, Machine Learning, and software engineering.
I enjoy building practical applications that combine intelligent systems with thoughtful engineering. From AI-powered workflows to computer vision and data-driven applications, I love turning ideas into working solutions.
class SanjayKrishnan:
def __init__(self):
self.name = "Sanjay Krishnan K"
self.education = "B.Tech Information Technology"
self.college = "St. Joseph's College of Engineering"
self.interests = [
"Artificial Intelligence",
"Machine Learning",
"Computer Vision",
"Generative AI",
"Full-Stack Development",
"Open Source"
]
self.languages = ["Python", "C", "JavaScript", "SQL"]
self.motto = "Learn. Build. Iterate."
def introduce(self):
return "Building technology that solves real problems."
me = SanjayKrishnan()
print(me.introduce())- Building AI-powered applications and developer tools.
- Exploring AI agents, computer vision, and intelligent automation.
- Contributing to open-source projects and learning from developer communities.
- Interested in turning research ideas into practical applications.
Focus: AI reliability, transaction safety, observability, and recovery.
An AI reliability platform designed to make AI-driven workflows easier to inspect, monitor, and manage. It focuses on workflow visualization, risk insights, transaction tracking, and rollback-oriented recovery.
Tech Stack: React 19, Vite, Tailwind CSS, Three.js, React Router, Python, FastAPI, Gemini API.
Focus: Government procurement, document intelligence, and compliance automation.
An AI-powered platform concept for analyzing tender documents and supporting bidder compliance verification. It combines document extraction, cross-checking, risk assessment, and explainable recommendations to help streamline procurement workflows.
Tech Stack: Next.js, React, TypeScript, Tailwind CSS, FastAPI, PostgreSQL, OCR, and LLM integration.
Focus: Medical AI and computer vision.
An AI-assisted retinal image analysis project exploring fundus-image-based screening for multiple retinal conditions. The project emphasizes model evaluation and the importance of communicating uncertainty rather than treating predictions as definitive diagnoses.
Areas of interest: Deep learning, retinal image classification, model comparison, and explainable predictions.
Focus: Machine learning and personalization.
A recommendation engine for personalized e-commerce product suggestions, combining content-based and collaborative filtering techniques.
Tech Stack: Python, Pandas, Scikit-learn, TF-IDF, and SVD.
Focus: Computer vision and real-time alerts.
An AI-based traffic safety project exploring accident detection, video analysis, location identification, and emergency notification workflows.
Tech Stack: Next.js, TypeScript, Flask, MongoDB Atlas, YOLOv8, and Roboflow.
Contributed to the DevImpact project by improving the leaderboard's empty-search experience.
Contribution:
- Added an informative empty state when a developer search returns no results.
- Added a clear-search action to reset the filter.
- Worked with an existing codebase and the GitHub pull request review workflow.
I look forward to contributing to more open-source projects, collaborating with maintainers, and learning from the wider developer community.
AI Developer Intern — Infologia Technologies Pvt Ltd
June 2026
Data Science Intern — Thiranex
June–July 2026 · Remote / Project-Based
Full Stack Development Intern — Bigbucks Innovation Pvt Ltd
July 2025 · Remote
Database Management Intern — OASYS Cybernetics Pvt Ltd
Include the internship dates and description here if you want to display this role.
- Microsoft Certified: Azure AI Fundamentals — Microsoft
- 5-Day AI Agents: Intensive Vibe Coding Course With Google — Google Cloud learning badge
- Introduction to Programming in C — NPTEL
- Data Science Foundation — Infosys Springboard
- Machine Learning Learning Path — IBM (include if completed)
- Data Science Foundation — IBM (include if completed)
Designathon 2026: Crack the Complexity
Participated in Round 2 of the National Level 24-Hour Hackathon at SRM Institute of Science and Technology on August 4–5, 2026. Worked on FlowVault, an Enterprise AI Reliability Platform.
NitroStack × WeKan × Amrita Vishwa Vidyapeetham Hackathon 2026
First place in Track 03 — Enterprise AI & Workplace Automation with the project Reversible Agent Actions: A Transaction Boundary for AI Agents.
Abusive Tamil Comment Detection Using MuRIL
Transformer-based NLP research focused on detecting abusive comments in Tamil.
If the paper's acceptance and publication details are confirmed, add the conference name and official paper link here.
- Deep Learning and Computer Vision
- NLP and transformer architectures
- Generative AI and AI agents
- Reliable AI workflows and intelligent automation
- Open-source software development
I'm always interested in connecting with developers, exploring innovative projects, contributing to open source, and learning from the tech community.
Learn. Build. Iterate.