PythonCore
Primary language for machine learning and AI development.
Available for learning & building
Akash Goswami
AI & Machine Learning Engineer
I'm Akash Goswami, an aspiring AI & Machine Learning Engineer from Bhopal. I build practical applications with Python, ML, LLMs, RAG and modern AI technologies.
01 / AboutCurious by nature.
Curious by nature.
Intentional by design.
I'm an AI & Machine Learning student who enjoys moving from a question to a working system.
Currently pursuing a B.E. in Artificial Intelligence & Machine Learning, I'm building my foundation across data, models and the interfaces that make intelligent technology useful.
My approach is practical: learn the fundamentals, build something tangible, then keep refining the idea until it earns its place in the real world.
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PROFILE / 2026Akash Goswami
Aspiring Machine Learning Engineer
B.E. AI & ML Bhopal, India CGPA 7.6 / 10.0
02 / ToolkitThe tools behind
The tools behind
the thinking.
No arbitrary percentages. Just the technologies I'm actively using, learning and connecting.
OOPHands-on
Object-oriented programming for structuring reusable application code.
REST APIHands-on
Designing web service interfaces for application communication.
DockerHands-on
Container tooling for packaging and running applications.
AWSLearning
Cloud platform technology in Akash's technical toolkit.
CI/CDLearning
Continuous integration and delivery workflows.
LangChainHands-on
Framework for building LLM-powered applications.
Prompt EngineeringHands-on
Designing prompts that make intelligent systems more useful and reliable.
RAGLearning
Grounding language model responses with external information.
NumPyHands-on
Numerical computing for data and model workflows.
PandasHands-on
Data cleaning, transformation and analysis.
MatplotlibWorking knowledge
Visual storytelling for exploratory analysis.
SeabornWorking knowledge
Statistical visualization for finding patterns.
Scikit-learnHands-on
Model development and experimentation.
GitHubCore
Version control and public project collaboration.
Jupyter NotebookCore
Interactive environment for experiments and analysis.
Google ColabHands-on
Cloud notebooks for accessible ML experimentation.
03 / Selected workIdeas, turned into
Ideas, turned into
working systems.
A small but growing collection of AI and ML projects, each one a step closer to building better intelligence.
01 / 3Multi-Agent AI Research Assistant
ResearchFlow AI
An AI-powered research assistant that automates the research workflow using multiple AI agents.
02 / 3Machine Learning / Recommendation System
CineMind AI
A content-based movie recommendation system that analyses metadata to find similar films.
03 / 3Data Analysis / Machine Learning
Mental Health Scores
A notebook-based project exploring patterns in mental health score data through analysis and visualization.
04 / The journeyLearning in public.
Learning in public.
Building with purpose.
01
Python
The foundation for turning ideas into working experiments.
02
Data Analysis
Learning to ask better questions of messy information.
03
Machine Learning
Building models that discover patterns and make predictions.
04
Generative AI
Exploring how language models change software interfaces.
05
LangChain + RAG
Connecting models to tools, context and useful knowledge.
06
Multi-Agent AI
Designing systems where specialised agents collaborate.
What I'm building towardsQuestions worth
Questions worth
staying curious about.
Machine LearningGenerative AILarge Language ModelsRAG SystemsMulti-Agent SystemsIntelligent ApplicationsAI-powered Automation
A moment worth remembering
Runner-up at AI Innovision.
Secured Runner-up in the AI Innovision Hackathon organized by Rabindranath Tagore University for developing an innovative AI-based solution.
Rabindranath Tagore University · BhopalRUNNER
UP
UP
05 / ConnectLet's build something
Let's build something
intelligent.
I'm always interested in learning, building AI-powered applications and connecting with people working on interesting technology.