Help & Supportcareers@gravityer.com
Software Engineer with 1+ years in Frontend Development and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer with hands on Experience in frontend Development and a strong foundation in computer science and passionate about solving real-world problems with code, equipped with excellent problem solving and team collaboration skills.
Anurag university
Bachelor of Technology
August 1, 2021 – June 30, 2025
Alphorse junior college
Intermediate Education · MPC
June 1, 2019 – May 31, 2021
Trinity Model Secondary
Secondary School Certificate · ssc
June 1, 2019 – May 31, 2019
Enhancing Agriculture with Machine Learning
June 19, 2026 – Present
Machine learning can analyze soil samples and sensor Data to provide recommendations on Fertilization, irrigation. This can be useful in efficient use of water. This can helps in predicting crop yields.
Ayurvedic Decision Support System
January 1, 2025 – April 1, 2025
Developed and implemented a simplifying Drug and Formulation Selection for Students and practitioners. Designed a Retrieval-Augmented Generation (RAG) model to recommend Ayurvedic treatments based on symptoms, patient factors, and classical references. Collaborated on data collection structured Ayurvedic knowledge from 150+ classical texts, integrating LangChain and ChromaDB for efficient search and retrieval.
Digital Twin for Power Projects
September 1, 2024 – December 1, 2025
Developed and implemented a virtual replica of a power plant, integrating real-time sensor data to optimize energy output and efficiency. Designed a real-time virtual replica of power plant integrates live sensor data from monitoring systems to provide insights into energy output. A virtual project where it does not need any human help. Conducted thorough testing to enhance the better result.
Navigating the AIML and Landscape
Unknown
June 1, 2026 – Present
Machine learning with Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying technology to different domains (power, healthcare, agriculture), which could indicate adaptability. The listed soft skills align with a collaborative environment. However, the lack of professional experience or detailed extracurricular involvement limits the depth of cultural fit assessment. The target role is 'Software Engineer', and the projects show a foundational alignment with software development and data application.
Soft Skills & Operational Fit
The candidate lists 'Team Work', 'Communication', and 'Problem solving' as soft skills. The project descriptions, while brief, suggest an ability to work on defined tasks. However, without completed psychometric or English tests, a comprehensive assessment of operational fit, stress handling, and collaboration effectiveness is not possible.