Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Generative AI & MLOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher AI/ML Engineer with hands-on experience in Generative AI, Agentic AI, RAG pipelines, LangChain, LangGraph, and multi-agent systems. Built production-ready projects including an AI Data Analyst Agent (CSV/Excel/DB → auto clean, charts, NLP Q&A), multi-modal disease recognition (OCR+RAG+LLM), and ML-based URL classifier. Proficient in Python, FastAPI, TensorFlow/PyTorch, GCP. Targeting AI/ML Engineer, Data Scientist, Generative AI, and AI Analyst roles.
DIEMS College of Engineering, Maharashtra
B.Tech · Computer Science Engineering (AI & ML)
June 1, 2021 – May 1, 2025
Greatway Software Solution
Data Scientist Intern
March 1, 2025 – August 31, 2025
Pune, Maharashtra, India
AI-Powered Job Scraper & Match Engine
January 1, 2026 – April 30, 2026
Engineered a local FastAPI + SQLite pipeline to ethically scrape and store job openings from 10+ tech portals using custom Workday, Eightfold, and JSON API crawlers; automated fresher-role discovery end-to-end. Built an offline NLP matching service (all-MiniLM-L6-v2 via SentenceTransformers) with overlapping chunking; ranked listings via 50/50 weighted cosine similarity (title + description) using high-performance NumPy vector operations. Integrated async background loops to dispatch ranked email alerts (smtplib/MIME) with boundary-safe skill tags, location-priority sorting, and experience-level badges.
View ProjectMalicious URL Classification
September 1, 2025 – December 31, 2025
Benchmarked Random Forest, XGBoost, SVM, Logistic Regression, Naive Bayes; achieved 80% accuracy on URL threat classification with TF-IDF + regex feature engineering. Deployed Flask/Django REST API for real-time malicious/benign URL prediction at sub-100ms latency.
AI-Powered Disease Recognition
March 1, 2025 – August 31, 2025
Designed multi-modal GenAI system for blood report analysis: OCR → semantic chunking → vector embeddings → LLM generation; achieved 92% accuracy, cut diagnostic review time by 40%. Built LLM-powered chatbot delivering personalised diagnostic summaries with prompt engineering & context-window optimisation.
Cultural Fit Analysis
The candidate's projects are diverse, covering areas like cybersecurity (URL classification), HR tech (job scraper), and healthcare (disease recognition), indicating a broad interest and adaptability. The focus on building end-to-end solutions and deploying APIs aligns with a product-oriented culture. However, as a fresher, the breadth of professional experience is limited to a single internship, which restricts a deeper assessment of cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and results-oriented approach, focusing on accuracy, latency, and efficiency improvements. The internship experience suggests an ability to work in a structured environment and present findings to stakeholders. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or adaptability cannot be definitively evaluated.