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 CV Service, a scalable FastAPI microservice using Google Gemini 2.5/3.0 for real-time crop disease diagnosis and GenAI localization.
- Engineered production architecture with PostgreSQL schema isolation, AWS S3 integration, and Docker pipelines.
- Optimized Conflux AI Plugin for e-commerce integration, implementing secure multi-step authentication.
- Developed Applied AI services including NLP chatbots (Rasa/LangChain) and Soil Prediction Models.
AI-Automation Intern @ Sumedha Design Systems
Feb 2025 - Aug 2025 | Hyderabad
- Developed RAG solutions using LLMs to automate MCQ generation and requirement-response workflows in the VLSI domain.
- Built multi-agent AI systems that enhanced content personalization and learner engagement.
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 using MRI data.
Things I've Built
NLP Health Tracker
Cloud-based fitness dashboard integrating NLP for activity logging. Features a React/Material-UI interface with Node.js backend using Nutritionix APIs.
React.js, Node.js, NLP APIs, Google Sheets
AI Automation for VLSI
Engineered a RAG system using Transformers to automate MCQ generation for VLSI education. Integrated MongoDB and deployed on AWS EC2/S3.
Python, Transformers, MongoDB, AWS, Prompt Eng.
Productivity Management
Task-tracking system for manager–employee workflows. Optimized MongoDB queries for real-time performance and integrated Google TTS APIs.
Node.js, MongoDB Atlas, React, Google TTS, Render
Waste Segregation (DL)
IoT-based smart solution using Inception ResNet V2, achieving 92.5% accuracy. Built a Flask/React UI for model testing and data upload.
PyTorch, ReactJS, Flask, ESP-32 (IoT)
Mental Health Chatbot
Smart India Hackathon project. A user-centric AI chatbot leveraging RNN-LSTM and Transformers for context-aware empathetic conversations.
Python, TensorFlow, NLTK, Transformers, Flask
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.
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.