Service Details

Explore offerings in LLM/RAG/Agentic AI, computer vision, backend APIs, data engineering, and MLOps.

Backend APIs & Automation 4 min read

Backend APIs & Full-Stack

Build high-performance REST/GraphQL APIs with Python, Django, DRF, Node.js, TypeScript, and Prisma. Schema design, PostgreSQL optimization, microservices, and documented ML/LLM feature APIs.

Python Django DRF Node.js TypeScript Prisma PostgreSQL

Build Robust, Production Backends

Design and implement scalable REST/GraphQL APIs, microservices, and backend systems. Optimize PostgreSQL schemas, automate CI/CD, and expose ML/LLM-powered features through clean, documented APIs.

Clean Architecture

Layered, testable codebases with clear separation of concerns.

Security

Auth, validation, and secure integrations.

Automation

Automate repetitive tasks and workflows.

Docs & Testing

OpenAPI docs, test suites, and CI/CD.

Computer Vision & Real-Time AI 4 min read

Computer Vision & Real-Time AI

Build and optimize real-time object detection and tracking with OpenCV, YOLO, and ONNX. Low-latency inference for production and edge environments, plus time-series anomaly detection.

OpenCV YOLO ONNX PyTorch Time-Series Edge Inference

Live Detection, Tracking & Inference

Build computer vision and real-time AI systems for production and edge. Optimize models with ONNX, process image and video streams, and pair vision with time-series anomaly detection and predictive analytics.

Real-Time Inference

Instant predictions and alerts.

Mobile & IoT

AI for smartphones, wearables, and sensors.

Streaming Data

Process and analyze live data streams.

Reliability

Robust, fault-tolerant systems.

Data Engineering & Scraping4 min read

ML, Data Science & ETL

Predictive modeling, anomaly detection, and time-series analysis with PyTorch, TensorFlow, and Scikit-learn. PostgreSQL/MySQL schema design, SQL optimization, and ETL pipelines.

PyTorch TensorFlow Scikit-learn PostgreSQL ETL Feature Engineering

Reliable Data for Analytics

Scrape, clean, and analyze data from the web and internal sources. Build pipelines for analytics, reporting, and machine learning.

Reliability

Anti-bot tactics and monitoring.

Data Quality

Schema validation and de-duplication.

Throughput

Concurrent workers and batching.

Exports

CSV/JSON/DB stores with audit trails.

MLOps & Cloud3 min read

MLOps & Cloud

Production model serving, Docker, CI/CD with GitHub/GitLab Actions, AWS and VPS deployment, monitoring, and ONNX optimization for scalable inference.

AWS Docker GitHub Actions GitLab Actions ONNX Model Serving

Production-Ready Deployments

Automated builds/tests, infrastructure as code, rollbacks, and metrics/logs so you can ship confidently. Containerize and deploy AI and backend systems for scale and reliability.

CI/CD

GitHub Actions pipelines.

Observability

Structured logs, metrics, alerts.

Containers

Docker images and orchestration.

Security

Secrets, least privilege, scans.

LLM, RAG & Agentic AI 5 min read

LLM, RAG & Agentic AI

Design and deploy production LLM applications, RAG pipelines, and multi-agent workflows with CrewAI, LangChain, and LangGraph. Prompt engineering, vector databases, and autonomous process automation.

OpenAI LangChain LlamaIndex CrewAI LangGraph Pinecone FAISS ChromaDB

Ship Production LLM Systems

I build RAG pipelines, multi-agent orchestration, and LLM applications that automate real business processes. Stack includes LangChain, LlamaIndex, CrewAI, LangGraph, and vector databases such as Pinecone, FAISS, and ChromaDB.

Work covers prompt engineering, fine-tuning, tool-use / function calling, and exposing ML/LLM features through documented APIs. End-to-end: retrieval design, agent workflows, evaluation, and production serving.

RAG Pipelines

Retrieval, chunking, and vector search for grounded answers.

Agentic AI

CrewAI and LangGraph multi-agent orchestration with tool-use.

LLM Apps

Prompt engineering, OpenAI APIs, and fine-tuning workflows.

Production APIs

Clean, documented endpoints that expose ML/LLM features.

Implementation Journey

1

Discovery & Data Prep

Define business goals, gather data, and prepare datasets.

Week 1
2

Modeling & Prototyping

Model selection, training, and evaluation. Rapid prototyping and validation.

Week 1-2
3

Deployment & Integration

Deploy models, integrate APIs, and set up real-time inference.

Week 2-4
4

Monitoring & Handoff

Monitor, retrain, and handover with docs and dashboards.

Week 4-6
AI & Automations 4 min read

AI & Automations

Integrate OpenAI, LangChain, and CrewAI for agentic workflows, RAG, and LLM-based process automation.

OpenAI CrewAI LangChain LangGraph Python

Ship Useful AI, Safely

From internal copilots to multi-agent workflows, I design prompt/response flows, retrieval strategies, and tool-use so AI features are reliable and cost-efficient.

LLM Integration

OpenAI and LangChain with robust fallbacks.

Agentic Workflows

CrewAI and LangGraph for autonomous process automation.

Cost Control

Token budgeting, caching, and tiered models.

Safety

PII redaction, rate limits, and evaluation harnesses.

Implementation Journey

1

Use‑case Design

Define tasks, inputs, and outputs.

Week 1
2

Prototype

Prompts, tools, retrieval, and evals.

Week 1-2
3

Integrate

Backend endpoints and UI hooks.

Week 2-3
4

Hardening

Observability, guardrails, and cost tuning.

Week 3-4
Data & Web Scraping4 min read

Data & Web Scraping

Scrape, clean, and analyze data using Selenium, BeautifulSoup, and pandas. Build reliable data pipelines and internal tools.

Selenium BeautifulSoup pandas

Reliable Data Pipelines

Focus on durable selectors, rotating proxies, headless browsers, and data validation to keep pipelines healthy as sites evolve.

Reliability

Anti‑bot tactics and monitoring.

Data Quality

Schema validation and de‑duplication.

Throughput

Concurrent workers and batching.

Exports

CSV/JSON/DB stores with audit trails.

DevOps & Deployment3 min read

DevOps & Deployment

Set up CI/CD and deployments on AWS/GCP/Linux. Containerize services and ensure observability for production readiness.

AWS GCP Docker GitHub Actions Linux

From Code to Reliable Prod

Automated builds/tests, infrastructure as code, rollbacks, and metrics/logs so you can ship confidently.

CI/CD

GitHub Actions pipelines.

Observability

Structured logs, metrics, alerts.

Containers

Docker images and orchestration.

Security

Secrets, least privilege, scans.

Database Design3 min read

Database Design

Design efficient schemas in PostgreSQL/MySQL, write optimized queries, and manage migrations with data integrity.

PostgreSQL MySQL SQLAlchemy

Schema First

Proper normalization, indexes, and constraints to get correctness and performance from the start.

ER Modeling

Clear entity boundaries.

Performance

Indexes, caching, query tuning.

Migrations

Safe, reversible changes.

Integrity

Constraints and audits.

Frontend & CMS3 min read

Frontend & CMS

Implement clean UIs with Bootstrap/Angular and customize WordPress themes to support product goals and content needs.

Bootstrap Angular WordPress

Polished and Practical

Build interfaces that are responsive, accessible, and easy to maintain. Empower content teams with flexible CMS setups.

Responsive UI

Mobile‑first components.

Theme Customization

WordPress and Bootstrap.

Integration

Connect to your APIs.

Documentation

Usage and content guides.