Hi, my name is
Kishan K.
I build intelligent solutions.
I'm an AI & Software Engineer specializing in Python, machine learning, and cloud development. I build and deploy scalable AI pipelines, full-stack applications, and intelligent automation systems.
About Me
Hello! I'm Kishan, an AI and Software Engineer with a strong foundation from Ramaiah Institute of Technology. I focus on the entire development lifecycle—from conceptualizing an idea to deploying robust, scalable applications.
Currently, I am at Silo Fortune, where I architect GenAI microservices and Applied AI solutions for agriculture. I thrive on technical challenges and am eager to contribute my expertise in turning complex requirements into high-impact software through explainable AI research and robust engineering.
Education
Ramaiah Institute of Technology, Bengaluru
B.E. in Artificial Intelligence and Machine Learning
2021 - 2025 | CGPA: 8.6/10
Technical Skills
Programming & AI
Backend & Cloud
Databases & Tools
Experience
Software Engineer - AI/ML @ Silo Fortune
Oct 2025 - Present | Bengaluru
- Architected the Kisaan Sampurna multimodal pipeline, merging CV disease detection with Gemini 2.5 Flash for real-time advisories in 12+ languages (92%+ precision).
- Orchestrated a production-grade FastAPI microservices ecosystem with PostgreSQL isolation, Redis caching, and Docker CI/CD, handling 10,000+ daily requests.
- Optimized Conflux AI Plugin for e-commerce integration, implementing secure multi-step authentication and plugin-based routing.
AI-Automation Intern @ Sumedha Design Systems
Feb 2025 - Aug 2025 | Hyderabad
- Streamlined multimodal extraction pipelines using GCP Vision and AWS S3 to process 10,000+ pages of VLSI documentation.
- Engineered automated RAG systems with LlamaIndex and FAISS, reducing manual content creation time by 60% and boosting engagement by 15%.
Machine Learning Intern @ Pragami Solutions
Jan 2025 - Feb 2025 | Bengaluru
- Delivered a full-stack Productivity Management System to streamline operations for small-scale industries.
- Conducted research on lung disease prediction and interpretable models for healthcare datasets.
Things I've Built
Sperm Mobility Analysis
Architected a containerized microservice for automated semen analysis. Engineered a high-performance ML pipeline integrating YOLOv8 for detection and DeepSORT for kinetic tracking via asynchronous Celery workers.
FastAPI, Celery, YOLOv8, DeepSORT, Redis, AWS S3
Yield & Weather Agent
Architected a FastAPI backend integrating Agromonitoring and Google Maps APIs. Implemented a rule-based normalization engine and IST date-based caching in PostgreSQL to minimize latency.
FastAPI, PostgreSQL, Redis, Docker, Agromonitoring API
Intelligent Crop Diagnostic System
Diagnostic system identifying 360+ crop varieties in 10 languages with 94% precision using Knowledge-Based Agents and Gemini pro (APIs) models.
Python, Computer Vision, DL, ML Agents, Expert Systems
Kissan Sampurna Web
React Native frontend for agricultural ecosystem, enabling seamless crop image uploads and LLM-driven advisories with < 2s response times.
React Native, Node.js, Vite, AWS S3, Tailwind CSS
RAG for VLSI Automation
Constructed an AI-powered RAG system using Transformers to automate generation of 2,000+ technical MCQs, accelerating content creation by 3x.
Python, HuggingFace, MongoDB, AWS S3, Prompt Eng.
NLP Health Tracker
Cloud-based dashboard integrating NLP for activity logging, processing 500+ complex food queries while reducing data entry time by 40%.
React.js, Node.js, NLP APIs, Google Sheets
Productivity Management
A full-stack MERN task-tracking system for manager–employee workflows, achieving real-time data synchronization with <50ms latency while supporting over 50+ concurrent active users.
Node.js, MongoDB Atlas, React, Google TTS, Render
Publications
Performance Evaluation of Deep Learning Models for Predicting Alzheimer's Disease
Research focused on the comparative analysis of DL architectures for early detection and prediction using neuroimaging data.
Enhancing Predictive Maintenance with SHAP and LIME: A Framework for Explainable AI
Developed a framework to make complex predictive maintenance models interpretable using XAI techniques for industrial applications.