Hi, my name is
Kishan K.
I build production AI systems.
I'm a Software Engineer (AI/ML) who builds and ships production GenAI, LLM, and computer-vision systems — from multimodal pipelines and RAG to cloud-native FastAPI backends on AWS.
About Me
Hello! I'm Kishan, a Software Engineer (AI/ML) with a strong foundation from Ramaiah Institute of Technology. I work across the full lifecycle — from research and modeling to deploying robust, scalable systems in production.
Currently at Silo Fortune, I build production AI for agriculture and livestock — computer-vision crop diagnostics, satellite intelligence (NDVI/EVI/NDWI), weather-driven recommendations, and multilingual LLM advisory generation across 12+ Indian languages — on cloud-native FastAPI services with multi-level caching that drives recurring inference costs to near-zero.
Education
Ramaiah Institute of Technology, Bengaluru
B.E. in Artificial Intelligence and Machine Learning
2021 - 2025 | CGPA: 8.6/10
Technical Skills
GenAI & LLM Engineering
AI/ML & Deep Learning
Backend & Databases
MLOps, Cloud & Languages
Experience
Software Engineer - AI/ML @ Silo Fortune
Oct 2025 - Present | Bengaluru
- Architected Kisaan Sampurna — a multimodal GenAI pipeline (Gemini 2.5 Flash + Computer Vision) delivering crop disease advisories in 12 Indian languages with 92%+ precision, handling 10,000+ daily API requests.
- Built Real-Time Mandi Price API serving price data for 7,000+ agricultural markets with nearest-mandi auto-resolution using Haversine formula in SQL, multilingual support, and dual-source data (PostgreSQL + AWS S3).
- Engineered AI Farm Intelligence System converting satellite indices (NDVI, NRI, EVI) into 432 farm condition fingerprints, generating 15-section advisories in 13 languages via two-level LLM cache — deployed on AWS ECS Fargate with Jenkins CI/CD.
- Built AI Crop Stage Prediction pipeline reading 5 years of satellite imagery to detect growth cycles for 21 crops across 80+ sub-stages, with parallel asyncio Gemini calls for knowledge generation.
- Orchestrated production-grade FastAPI microservices with PostgreSQL service isolation, Redis caching, and Docker CI/CD — reducing downtime by 40%.
AI-Automation Intern @ Sumedha Design Systems
Feb 2025 - Aug 2025 | Hyderabad
- Engineered a scalable data-extraction pipeline using GCP Vision and AWS S3 to process 10,000+ pages of VLSI documentation, with RAG-based automated MCQ generation.
- Architected a hybrid retrieval framework with LlamaIndex and FAISS using re-ranking strategies — improving learner engagement by 15% and reducing latency by 50%.
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
Kisaan Sampurna
AI-Powered Agricultural Advisory Platform · @ Silo Fortune
Real-Time Mandi Price API
FastAPI backend serving price data for 7,000+ agricultural markets across India. Nearest-mandi auto-resolution using Haversine formula in SQL, 12-language support, dual-source data (PostgreSQL + AWS S3 Parquet), and cascade dropdowns under 5ms via in-memory cache.
FastAPI, PostgreSQL, AWS S3, Docker, SQLAlchemy, JWT
AI Crop Stage Prediction
5-layer pipeline reading 5 years of satellite imagery (NDVI, EVI, NDMI) to detect crop growth cycles for 21 crops across 80+ sub-stages. Generates pest/disease advisories via parallel asyncio Gemini calls. Delivered in 10 Indian languages via cache-first translation.
FastAPI, Gemini 2.0 Flash, AgroMonitoring API, PostgreSQL, AWS S3
AI Farm Intelligence System
Satellite indices (NDVI, NRI, EVI, DSWI) → deterministic bucketing → 432 condition fingerprints → 15-section advisory in 13 languages. Two-level LLM cache drives cost to near-zero. 6 satellite overlay images stored on AWS S3. Deployed on AWS ECS Fargate + Jenkins CI/CD.
FastAPI, Gemini, AWS S3, AWS ECS Fargate, PostgreSQL, Jenkins
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
Sentinel
Agentic Research Copilot for Indian Equities · Personal Project
Multi-Agent Research Platform
Multi-agent AI research platform for NSE/BSE-listed companies using LangGraph, RAG, and MCP-based tool orchestration. Implemented hybrid retrieval, reranking, observability, and evaluation pipelines; currently developing QLoRA fine-tuning on Qwen-2.5-7B for grounded, citation-aware financial research.
LangGraph, LangChain, QLoRA, Qwen 2.5, RAG, FAISS, FastAPI, Langfuse, Docker, AWS
Gau Sampurna
AI-Powered Sperm Motility Analysis · Livestock Fertility
Sumedha Design Systems
AI-Automation Internship · VLSI Documentation Automation
Other Projects
Full-stack, ML & research builds
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.
Certifications
Hands-on coursework across Python, ML/GenAI and cloud — verified credentials from Udemy, Microsoft and AWS.
