Artificial Intelligence & Machine Learning

We design and operationalize practical machine learning models, multilingual conversational assistants, and edge intelligence systems built for accuracy, low latency, and real-world scale.

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APPLIED MACHINE LEARNING

AI Engineering Capabilities

From localized NLP and structured RAG systems to predictive modeling and low-bandwidth edge deployment.

Multilingual Conversational AI & NLP

Domain-trained chatbots, intent classifiers, and language translation

We build contextual conversational interfaces capable of communicating in regional Indian languages and English, resolving user queries and guiding welfare adoption.

Regional language NLP with intent classification and sentiment detection

Retrieval-Augmented Generation (RAG) over structured organizational knowledge bases

Automated fallback escalation to human operators with audit logging

Predictive Analytics & Forecasting Models

Operational forecasting, anomaly detection, and risk scoring

We train supervised and unsupervised machine learning models to detect operational anomalies, predict supply chain bottlenecks, and score credit risk in non-traditional data sets.

Time-series forecasting for inventory, demand, and resource distribution

Alternative credit risk scoring models for microfinance and small enterprises

Statistical anomaly detection in high-volume transaction databases

Computer Vision & Document Extraction

Automated OCR, ID verification, and visual quality assessment

We deploy lightweight visual recognition models to parse identity documents, verify certificates, and automate physical inspection workflows directly from smartphone cameras.

Automated optical character recognition (OCR) for multilingual physical documents

Document tamper verification and automated metadata extraction

Defect detection and visual quality grading algorithms

Edge AI & Lightweight Model Deployment

Sub-second inference optimized for mobile devices and constrained bandwidth

We quantize and compress machine learning models to execute locally on low-cost mobile hardware without requiring continuous high-speed Internet connectivity.

Model quantization (INT8/FP16) using ONNX Runtime and TensorFlow Lite

Offline-first on-device speech transcription and keyword spotting

Optimized model serving architectures with low memory footprints

AI ARCHITECTURE & TOOLING

Machine Learning Ecosystem

Industry-standard frameworks and vector pipelines engineered for deterministic performance and low latency.

Frameworks & Engines

PyTorchTensorFlowScikit-LearnFastAPIONNX RuntimePython

NLP & Conversational

LangChainHugging FaceSpaCyOpenAI APIOllamaLlama.cpp

Data & Telemetry

PandasNumPyPostgreSQL (pgvector)RedisChromaDBAirflow

Serving & Deployment

DockerAWS SageMakerGCP Vertex AITFLiteTriton ServerSentry

DEPLOY APPLIED AI

Have an AI or Machine Learning Project Requirement?

Connect directly with our engineering team to assess model feasibility, data readiness, and computational deployment architecture.

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Direct engineering response within 24 hours · communications@markzin.com