AI / ML Engineer

AI/ML Engineer building
scalable AI systems,
RAG pipelines & production ML.

I'm Kartikey Kumar Malkani. Focused on low-latency AI systems, retrieval-augmented generation (RAG), and deploying real-world machine learning solutions.

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About

I build real-world AI systems.
Not just academic projects.

I am an AI/ML Engineer with experience in building end-to-end machine learning systems, from data pipelines to production deployment.

I enjoy solving real-world problems using AI, especially in domains like agriculture, healthcare, and public systems — combining data, algorithms, and system architecture into deployable intelligent products.

My work focuses on

Retrieval-Augmented Generation (RAG)Scalable machine learning systemsLow-latency inference optimizationAI system deployment with FastAPI & cloud

4+

Projects

2

Hackathons Won

AgriTech, MedTech, GovTech

Domains

Python, PyTorch, FastAPI, FAISS

Core Stack

Work Experience

Where I've contributed.

Research Intern

IIT Ropar (AWaDH CPS Lab)

Jun 2024 — Aug 2024

Delhi

Developed ML models for crop-yield prediction on 100GB+ multimodal sensor data; achieved 20% improvement over baseline regression models.
Engineered scalable Python ETL pipelines processing time-series data, reducing preprocessing time and improving data quality for model training.
Built monitoring and evaluation pipelines for tracking model performance across experiments and deployments.

AI & Robotics Intern

Omnipresent Robotics Tech

Jun 2022 — Aug 2022

Greater Noida

Analyzed calibration errors and sensor inaccuracies in Quad X8 drone system, improving data reliability for field deployment.
Engineered data acquisition and validation pipelines for field-deployed drone systems.

Built to solve.

Production-grade systems spanning AgriTech, GovTech, and MedTech - built with real data, real scale, and real impact.

LIGHTGBMGNNFASTAPIOPENSTREETMAPPYTHON

Krushak Smart Sell

AI-Powered Mandi Price Forecasting

Large-scale AI system forecasting agricultural market prices across India using machine learning and graph-based models. Built hybrid LightGBM + GNN forecasting, geospatial pipelines using Haversine distance, and a FastAPI backend with low-latency inference.

1,000+ markets10M+ records10k+ daily predictions

Live Demo

FAISSBGE EMBEDDINGSFASTAPIPLAYWRIGHTLANGCHAIN

Sarkar Setu

AI Scheme Discovery & Automation Agent

AI system that helps users discover and automatically apply for government schemes using RAG and automation agents. Built RAG pipeline with hybrid retrieval (BM25 + semantic), intent-aware retrieval, and a browser automation agent for form submission.

4,600+ schemes indexedPrecision@5: 0.45MRR: 0.70+

FAISSBGECROSS-ENCODER

MedVectorAI

Semantic Medical Retrieval System

Semantic search system for medical knowledge using RAG and Cache-Augmented Generation (CAG). Hybrid retrieval (BM25 + vector), cross-encoder reranking, and CAG pipeline for low-latency inference.

876 docs -> 14,606 chunks~91% retrieval accuracy7x latency reduction

Live Demo

PYTORCHOPENCVFASTAPI

BioForgeNet

Scientific Image Forgery Detection

AI system detecting manipulation in scientific images using ensemble learning and production APIs. 5-model ensemble pipeline with mask generation, anomaly localization, and fault-tolerant deployment with retry logic.

5-model ensembleReal-time inference APIsFault-tolerant deployment

Live Demo

Skills

Tools of the trade.

A growing toolkit refined through real projects, hackathons, and research.

Programming

PythonC++

ML / AI

PyTorchTensorFlowScikit-learnOpenCVDeep Learning

LLM / NLP

TransformersRAGFAISSLangChainHugging Face

Systems

FastAPIDockerLinuxETL PipelinesAPI Development

Databases

MySQLMongoDB

Core Focus

Low-Latency SystemsScalable ML SystemsModel Optimization

Resume

The journey so far.

Education, research, hackathons, and milestones that shaped my path in AI.

2025 — Expected Jun 2027

M.Tech in Computer Science & Analytics

National Institute of Technology (NIT), Delhi — CGPA 7.75/10

Coursework: Data Analysis, Machine Learning, Computer Vision, Advanced Databases

Jun 2024 — Aug 2024

Research Intern

IIT Ropar (AWaDH CPS Lab)

ML models for crop-yield prediction · 100GB+ sensor data · ETL pipelines · Power BI

Jun 2022 — Aug 2022

AI & Robotics Intern

Omnipresent Robotics Tech, Greater Noida

Quad X8 drone calibration · sensor inaccuracy analysis · field data pipelines

Jun 2021 — Jul 2025

B.Tech in Artificial Intelligence

Gautam Buddha University, Greater Noida — CGPA 9.08/10

Download

Resume PDF

Certifications

Business Intelligence and Analytics — NPTEL

Fundamentals of Generative AI — Udacity

Geodata Processing using Python — ISRO

Publication

A Multi-Task Deep Learning for Plant Disease Classification and Vegetation Index Regression Using Multi-Modal Data

IEEE 4th International Conference on Technology, Engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent (TEMSMET), 2025

Hackathons & Recognition