An AI-powered research agent that performs structured research, verifies sources, extracts evidence, fact-checks findings, and generates citation-backed reports with human-in-the-loop approval and research-quality evaluation.

Md Aman Alam
Building Production AI Systems with Agentic AI, MLOps & Cloud.
About
B.Tech Information Technology graduate focused on AI Engineering and Generative AI, with hands-on experience building and deploying Agentic AI systems, RAG applications, and machine learning services. Skilled in LangGraph, LangChain, FastAPI, PostgreSQL, Docker, AWS, and CI/CD, with experience developing tested, stateful, and production-oriented AI applications.
- Education
- B.Tech, Information Technology
- Institution
- Haldia Institute of Technology
- Location
- Dhanbad, Jharkhand, India
- Currently Focused On
- Agentic AI systems & RAG applications
Skills
Languages
AI/ML & GenAI
Backend & Data
Cloud & MLOps
DevOps & Engineering
Projects
A selection of AI systems, developer tools, and machine-learning applications built with a focus on useful, production-minded software.
An automated evaluation, benchmarking, and CI/CD regression testing platform for production LLM, RAG, and AI agent systems. Features BYOK encryption, deterministic & LLM-as-a-judge evaluators, automated regression tolerance gates (±2%), and real-time LangSmith cloud observability.
A production-style AI operations platform designed for secure, reliable, observable, cost-aware, and testable AI service delivery.
Production-grade AI database assistant for PostgreSQL with schema introspection, injection-hardened SQL execution, and Groq-powered SQL generation, explanation, optimization, and business insights.
An MCP server that gives AI assistants access to weather data through a focused set of tools for current conditions and forecasts.
An AI-powered DevOps assistant designed to help developers understand, troubleshoot, and automate common infrastructure and delivery workflows.
A conversational file assistant that uses retrieval-augmented generation to answer questions about uploaded documents and return grounded responses.
A stateful customer-support agent that combines conversational AI with retrieval and tool use to provide helpful, context-aware responses.
An agentic todo application that lets users manage tasks through natural language while keeping actions structured and stateful.
An AI learning platform that helps generate personalized educational content and supports students with interactive, practical study assistance.
A natural-language interface for exploring relational data, translating user questions into SQL and returning understandable database insights.
A semantic search application that combines document processing, embeddings, and LangChain retrieval to return relevant results from a custom corpus.
A computer-vision project that applies machine learning to support environmental awareness and practical sustainability-focused insights.
A real-time computer-vision game that recognizes hand gestures through a camera feed and classifies rock, paper, and scissors.
Experience
Capgemini — Cloud & DevOps Trainee (Left Shift Program)
Jan 2026 – May 2026
- Provisioned cloud infrastructure using Terraform and CloudFormation, including VPCs, EC2 instances, networking components, and Security Groups.
- Automated CI/CD workflows using GitHub, Jenkins, Docker, Kubernetes, EKS, Minikube, and Helm.
- Implemented infrastructure and application monitoring using Prometheus and Grafana to improve system observability.
- Built a security-integrated DevSecOps CI/CD pipeline using GitHub Actions, Gitleaks, Trivy, Infrastructure-as-Code security scanning, and automated Dev, Staging, and Production deployment workflows.
Dataspace Academy — Machine Learning & Cloud Intern
Jan 2025 – Mar 2025
- Developed and evaluated machine learning models using Python and Scikit-learn, applying data preprocessing, feature engineering, model training, evaluation, and cloud deployment practices across end-to-end ML workflows.
Let's work together
Have a project, an idea, or an opportunity in mind? I’m always open to discussing AI engineering, backend systems, and DevOps.
Availability
Open to work, internships, freelance, and collaboration