Help & Supportcareers@gravityer.com
Fullstack Engineer with less than a year in React, Django, and ML Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building end-to-end ML pipelines in NLP and Computer Vision. Designed a CNN weed classifier achieving ~99% accuracy and an AI Financial Q&A Assistant with 88-92% intent classification accuracy. Proficient in Python, TensorFlow, and PyTorch, with a track record of reducing latency and improving system performance in production-ready applications.
Aditya Institute of Technology and Management, Tekkali
B.Tech · Computer Science and Engineering
September 1, 2021 – May 1, 2025
Metro Lab Services Pvt. Ltd.
Full Stack Web Development Intern
April 1, 2024 – May 1, 2024
Hyderābād, Telangana, India
AI-Powered Financial Q&A Assistant
March 1, 2026 – Present
Constructed an AI-based Q&A system using LLMs via Ollama to deliver data-driven answers to finance-related queries. Implemented an intent recognition engine combining NLP and Ollama, reaching 88-92% accuracy on a held-out evaluation set. Scaled to 1,000+ daily requests at sub-500ms latency by integrating SQL/NoSQL databases with financial REST APIs. Raised query response relevance by 30% over baseline through text classification and context-aware answer generation. Created an interactive interface to support financial literacy, increasing user task completion rate by 35%.
View ProjectWeed Image Classification Using Deep Learning Framework
December 1, 2025 – December 1, 2025
Developed a CNN-based deep learning framework for early weed detection, targeting low-cost identification in precision farming. Applied image preprocessing to standardize input quality, achieving 99% accuracy and 0.91 F1-score on a stratified train/test split. Structured targeted data augmentation to correct class imbalance, boosting minority-class recall by 22%. Tuned hyperparameters via the Firefly Algorithm metaheuristic, cutting convergence time by 35% over grid search. Shipped an inference system with sub-200ms per-image latency, enabling near-instant weed classification in the field.
Introduction to Machine Learning
IIT Kharagpur
January 1, 2024 – Present
Data Mining
IIT Kharagpur
January 1, 2024 – Present
Python for Data Science
IIT Kharagpur
January 1, 2023 – Present
Database Management System
IIT Kharagpur
January 1, 2023 – Present
Cyber Security Workshop
Supraja Technologies
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in AI/ML applications (finance Q&A, precision farming) and full-stack development. The academic background and multiple NPTEL certifications from IIT Kharagpur indicate a strong drive for continuous learning and self-improvement, which is a positive cultural indicator. The internship, though short, shows an ability to contribute to a production environment. However, the overall experience is heavily academic, and exposure to diverse team structures or corporate culture is limited, which might require some adaptation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-oriented approach, focusing on metrics like accuracy, latency, and user task completion. This indicates a strong operational fit and an ability to deliver measurable impact. The academic projects and certifications suggest a proactive learning attitude. However, with only one short internship, direct experience in team collaboration and handling complex project dynamics in a professional setting is limited.