Python (Basic)HackeRrank
Issued: June 2025
Verified
Professional Resume
Comprehensive overview of my professional experience, skills, and achievements.
Contact
Languages
Bangla
Native
English
Fluent
Hindi
Conversational
Awards
- Outstanding PerformancePipeline Inc. • 2025
- Ranked 392nd – PatriotCTF 2024George Mason University • 2024
Professional Summary
Dynamic AI Engineer with hands-on experience building innovative AI-driven applications and custom AI agent frameworks from the ground up. Adept at integrating OpenAI, Gemini, and other LLM APIs to enhance application capabilities, complemented by strong skills in scripting, codebase optimization, and system architecture design. Proficient in Python, C++, OpenGL, and game engine development, with deep expertise in Linux (Arch) and modern software tools. Proven ability to deliver impactful solutions in fast-paced environments, collaborating effectively on cross-functional projects during an AI engineering roles.
1+
Years Experience
5+
Projects Completed
2
Certifications
Professional Experience
AI Engineer Intern
Feb 2025 – Present
As an AI Engineer Intern at Pipeline Inc., I’ve had the opportunity to work on impactful real-world projects while learning directly from experienced engineers and researchers. This role has allowed me to explore system design from the ground up, contribute to in-house AI and security tools, and take ownership of key features in ongoing development cycles. Beyond coding, I’ve grown in architectural thinking, problem-solving, and understanding how AI systems integrate into larger infrastructures—especially in the context of automation and cybersecurity
Key Achievements
- Designed and built a modular AI agent framework from scratch, featuring pluggable components for LLMs, memory backends, tools, and injectable prompting, allowing flexible and dynamic configuration for a variety of use cases.
- Developed a self-reflective reasoning loop to enable iterative decision-making and intelligent tool usage, enhancing the agent's ability to handle complex tasks autonomously.
- Gained practical experience in system and architecture design by building the framework from the ground up, with a focus on extensibility, maintainability, and long-term adaptability.
- Assisted in enhancing internal security products, including SIEM-like systems and endpoint scanners, by integrating AI components to automate tasks, handle edge cases, and intelligently process data where traditional APIs were insufficient.
- Diagnosed and resolved bugs in the PDF generation pipeline used across reporting tools, improving formatting consistency, error resilience, and maintainability.
- Conducted R&D on emerging tools and technologies in AI and cybersecurity, gaining exposure to practical trends and real-world applications.
Technologies Used
Python
AI Agents
OpenAI
Gemini
Langchain
GuardRails
Technical Skills
Programming Languages
Core
Python
C
C++
Bash
SQL
Familiar
C#
Java
TypeScript
Go
Rust
Databases
Core
Redis
PostgreSQL
Familiar
MySQL
MongoDB
FAISS
Qdrant
DevOps
Core
Docker
Arch Linux
CI/CD
Systemd
Familiar
VMware
Vagrant
Ansible
Security
Core
Nmap
Burp Suite
Wireshark
Fail2Ban
Familiar
Metasploit
OSINT
Lynis
iptables
Web Development
Core
TypeScript
Node.js
Express.js
Spring Boot
.NET
Familiar
React
Next.js
Tailwind CSS
Django
OpenAPI
Tools
Git
VScode
Jupyter
Neovim
Alacritty
OLlama
Machine Learning
PyTorch
CUDA
scikit-learn
OpenCV
NumPy
Pandas
LLMs & Retrieval Systems
Transformers
Hugging Face
LangChain
LlamaIndex
Axolotl
OpenAI
Gemini
Mistral
AI Agents & Systems
LangGraph
AutoGen
Semantic Kernel
Guardrails AI
AutoGPT
MLOps & Inference
FastAPI
WebSockets
Docker
ONNX Runtime
TorchServe
BentoML
MLflow