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Omkar G. Backend, AI and Web Development

My name is Omkar G. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Flask, FastAPI, Django, Artificial Intelligence, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: AgriCode – Agri-Horticulture Price Prediction System, App Insights – Review Analysis Tool for Google Play Store. I am based in Pune, India. I've successfully completed 2 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Backend, AI and Web Development

    2 years

  • Python

    1 Year

  • Flask

    1 Year

  • FastAPI

    1 Year

Direct hire

Potentially possible

Previous Company

Fractal Analytics

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Experience Highlights

AgriCode – Agri-Horticulture Price Prediction System

AgriCode helps farmers and traders predict agri-horticulture commodity prices using a hybrid ML model (LSTM + ARIMA). I developed and trained the model on historical market data to capture both seasonal and nonlinear patterns. Integrated it with a Flask-based backend API for real-time predictions. Built with Python, Pandas, NumPy, and Matplotlib, this tool improves price forecasting accuracy and supports smarter decision-making in the agricultural supply chain. Deployed : https://agricode-z5nm.onrender.com/

App Insights – Review Analysis Tool for Google Play Store

Built a web application to analyze app reviews from the Google Play Store using FastAPI and NLP. Migrated from Flask to FastAPI to improve performance, integrated Google Play Scraper for review extraction, and used Transformers & Generative AI for intelligent insights. Implemented async review fetching to reduce latency by 70%, helping developers gain quick and actionable feedback.

Education

  • MES Wadia College of Engineering

    Bachelor of Engineering (BEng) in

Languages

  • English
  • Spanish
  • Hindi
  • Marathi (Marāṭhī)

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