Open to AI Roles & Startup Collaborations

Aditya AkuskarAI Engineer • Data Scientist • MLOps Practitioner

I build AI systems that scale. From autonomous agents to SaaS-ready ML pipelines, I design and deploy solutions that bridge research and production. Passionate about creating products with real business impact and pushing the boundaries of applied AI.

PyTorchLLMsLangChainDockerAgents
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My Tech Stack

A showcase of the tools and technologies I use to build modern, scalable, and efficient applications.

Languages & Databases

Python

MongoDB

SQL

Vector DBs

Flask

Streamlit

Gradio

Pandas

NumPy

Matplotlib

Plotly

ML / DL

TensorFlow

PyTorch

Supervised & Unsupervised Learning

LLMs

Transformers

LangGraph

RAG

LangChain

Scikit-learn

MLOps / DevOps

Docker

GitHub

Kubernetes

Airflow

MLflow

DVC

MCP

Prometheus

Grafana

Jenkins

CI/CD

AWS

Latest Projects

Sales Forecasting Platform

Sales Forecasting Platform

End-to-end ML system predicting sales for retail datasets with automated feature engineering, model training, and reporting dashboards,With integrated ai chatbot.

MLOpsFastAPIDockerAirflowchatbotReact
MCP Client - YFinance Module

MCP Client - YFinance Module

Developed modular AI agent server for financial data retrieval, analytics, and visualization integrated into accounting workflows.

MCPFastAPIFinance AIclaude
Autogpt For Enterprices

Autogpt For Enterprices

Built a suite of AI agents for task decomposition, planning, and dynamic execution to automate business workflows.

langchainRAGAgentsLanggraphAutomation
Nova WhatsApp Agent

Nova WhatsApp Agent

Automated and deployed a smart WhatsApp agent that handles customer queries, integrates with APIs, and supports dynamic task execution and supports all image , videos and texts.

LLmsLangchainLangGraphGCPChatbot
Text Summarization Project

Text Summarization Project

NLP project that summarizes large texts efficiently using transformer-based models for concise insights.

NLPTransformersMlopsCI/CD
Vehicla Insurance claim

Vehicla Insurance claim

Automated insurance claim processing using ML pipelines and prediction models to streamline claim validation.

DockerMLMlopsFastAPICI/CD
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Experience

A journey of building, experimenting, and delivering AI systems that scale.

AI Engineer & MVP Developer (Freelance)

Private Client – UK Accounting SaaS

May 2025 – Present

Developing modular MCP servers and autonomous AI systems integrated into an accounting SaaS platform.Built real-time financial data tools using FastAPI and Python for plug-and-play AI accounting workflows.Currently building an end-to-end XBRL-compliant transaction-to-report system using Python, Streamlit, and SWI-Prolog.Implements the Seattle Method and Charles Hoffman’s Mini Framework to transform ledger data into structured financial reports with AI-powered account mapping and deterministic business rules.Ensures complete audit traceability from raw transactions to generated XBRL facts.

FastAPIPythonMCP ProtocolSWI-PrologStreamlitDockerSupabaseAWS

Data Science Trainee

Naresh IT

Jan 2025 – June 2025

Completed intensive training in Data Science and Machine Learning. Built and deployed 20+ industry-grade and mini-projects across NLP, time-series forecasting, Machine Learning and Deep Learning. Designed modular ML pipelines, experiment tracking setups, and end-to-end workflows using MLOps principles.

PyTorchScikit-learnMLflowLangChainML/DL

Software Intern

InternPe

Mar 2023 – Aug 2023

Worked on backend systems using Java and REST API design. Integrated RESTful APIs for data exchange between frontend and backend modules. Improved code quality through agile methodologies and code reviews, establishing solid software engineering foundations for scalable AI applications.

JavaREST APIDockerGitHub Actions

Insights & Writings

My hands-on explorations of AI, MLOps, and autonomous systems where research meets implementation.

Unlocking the Power of Advanced RAG: Your Practical Guide to Next-Gen RAG

June 2025

Unlocking the Power of Advanced RAG: Your Practical Guide to Next-Gen RAG

A breakdown of advanced RAG architectures, vector stores, and how to make your AI actually retrieve the right context every time.

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How I Built My Own Stock Server with Python, YFinance, and a Touch of Nerdy Ambition

April 2025

How I Built My Own Stock Server with Python, YFinance, and a Touch of Nerdy Ambition

A hands-on walkthrough of designing a modular YFinance MCP Server that feeds live stock data into autonomous accounting agents.

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What Is the Model Context Protocol (MCP)?

March 2025

What Is the Model Context Protocol (MCP)?

Breaking down the new MCP standard for AI agent interoperability — why it matters and how it powers modular AI ecosystems.

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About
Aditya Akuskar

Aditya Profile Photo

Aditya Akuskar

AI Engineer | Data Scientist | MLOps Practitioner

Hi, I’m Aditya Akuskar an AI Engineer and MLOps practitioner who likes turning rough ideas into working, intelligent systems.

I started out with how statistics and neural network but latter become obessed about data science. Over time, that curiosity turned into building things from modular ML pipelines and autonomous agents to production-grade FastAPI systems that actually make decisions.

These days I split my time between freelancing on AI infrastructure projects (like developing verified MVP for accounting SaaS or clients) and exploring ideas for building my own SaaS platform that blends AI, automation, and business logic.

When I’m not deep in code or debugging deployment pipelines, I’m usually reading about startups, writing ideas, or figuring out how to build something people can’t ignore.

Aditya Akuskar

Aditya Akuskar

AI Engineer| Data Scientist| MLOps Practitioner

Building Scalable AI & ML Systems?
Let's collaborate.

MLOps workflows, and AI-powered backend systems ,autonomous agents to scalable platforms, I help teams move fast without sacrificing reliability. If you're tackling complex AI/ML challenges, let's connect and build something impactful.