Headline

ML Developer | Python Enthusiast | Creator of ML-powered Diabetes Detection & Hospital Mgmt Systems | NLP Researcher | Intern @Impetus | Ex-FabHR | VIT Chennai CSE ’25

About

I'm Priyansh Maheshwari, an aspiring ML Developer passionate about crafting intelligent systems that solve real-world problems. With hands-on experience in both research and development, I specialize in building end-to-end ML applications that are not only technically robust but also user-centric. Currently, I’m working at **Impetus** where I develop and fine-tune ML models for predictive analytics. Whether it's cleaning messy datasets, engineering powerful features, or deploying optimized models, I enjoy the entire ML lifecycle. Previously, during my **Java internship at FabHR**, I enhanced backend performance and participated in agile development cycles, which laid a strong foundation in scalable software engineering. Some of my favorite projects include a **Diabetes Detection System**, which forecasts diabetes risk using machine learning, and a **Hospital Management System**, built with a secure RESTful backend and role-based access. These projects reflect my core strengths: Python, Java, Flask, MongoDB, JWT, and tools like Scikit-learn, TensorFlow, and XGBoost. Beyond the code, I’m intrigued by research in **Natural Language Processing** and **Computer Vision**, and I actively explore these areas through side projects and open-source contributions. My goal: To work on innovative AI solutions that positively impact lives—whether that’s through healthcare tech, smart automation, or research-led products. I’m always open to collaborating, learning, or discussing AI and software development. Let’s connect!

Location

Indore

AI stack

claude

gemini

github copilot

hugging face

langchain

langgraph

Work experience

Associate Analytics Engineer at Impetus, Oct 2025 - Present · 1 yr, Indore, Madhya Pradesh, India, Seamless API integration within existing repositories. Built & tested Temporal.io workflows and agents for multi-step orchestration, including end-to-end execution validation. Developed automation test scripts for streaming and non-streaming agent workflows, improving test repeatability and reducing manual QA effort. Enhanced observability by implementing structured logging, input/output tracing, and QA summary reports to accelerate debugging and issue resolution. Built Streamlit applications to showcase prototypes, including UI for demos and interactive result presentation.

Intern at Impetus, Jan 2025 - Apr 2025 · 4 mos, Indore, Madhya Pradesh, India, As an ML Developer at Impetus, I focus on building scalable machine learning models for real-time data analysis and prediction tasks. My responsibilities include end-to-end model development—from data preprocessing and feature engineering to model training, evaluation, and integration into production systems. I've optimized accuracy by experimenting with various ML algorithms like XGBoost and ensemble techniques, achieving up to 92% prediction precision on real-world datasets. Working closely with cross-functional teams, I ensured seamless deployment of ML pipelines that improved client decision-making efficiency by 30%. My collaboration in team sprints and regular code reviews also helped maintain high code quality and model interpretability. This role has deepened my practical understanding of model lifecycle management and performance tuning while reinforcing my skills in Python, Scikit-learn, and data pipelines.

Java Intern at FabHR, Aug 2023 - Oct 2023 · 3 mos, Indore, Madhya Pradesh, India, During my internship at FabHR, I contributed to the development and maintenance of HR management tools built on Java. My primary tasks involved adding new features, fixing bugs, and enhancing application performance. I improved one core module’s load time by 40% by implementing optimized data handling routines. I also participated in code reviews, collaborative debugging sessions, and agile sprints that gave me insight into professional software development workflows. Additionally, I wrote unit tests and documentation to ensure robust and maintainable code. This internship honed my understanding of Java backend development, object-oriented design principles, and version control using Git. It also helped strengthen my communication and teamwork skills in a fast-paced, real-world environment.

Education

Bachelor of Technology - BTech, Computer Science, Vellore Institute of Technology

12th, PCM, SICA School

Public links

github: https://github.com/priyansh1902