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AI/ML Engineer with less than a year in Natural Language Processing & Generative AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic AI developer with hands-on experience in Machine Learning, NLP, and Generative AI. Exploring current AI frameworks including CrewAI and OpenAI Agents SDK for building autonomous multi-agent systems. Skilled in Python, FastAPI, and React with a focus on developing scalable AI-driven applications.
National University of Modern Languages
Bachelor of Science in Information Technology · Information Technology
August 1, 2019 – June 30, 2022
Elevvo Pathwavs
AI/ML Intern (NLP)
July 1, 2025 – August 31, 2025
India
Autonomous Cyber Defense System (ACDS)
June 1, 2026 – Present
Developed an AI-powered cyber defense system for real-time attack detection and automated SOAR response using FastAPI, scikit-learn, and multi-agent orchestration. Enabled analyst-ready operations through live SOC monitoring, CI/CD automation, and framework-aligned controls (NIST CSF, PCI DSS) for secure, auditable incident handling.
View ProjectAI RESEARCH ORCHESTRATOR
June 1, 2026 – Present
Developed ScholarFlow AI, a multi-agent RAG platform for PDF-based question answering, academic/web source retrieval, citation-backed responses, and automated research report generation. Implemented semantic similarity matching and entity extraction. Developed Streamlit interface for recruiter workflows.
View ProjectResume Screening System
June 1, 2026 – Present
Built NLP-based candidate screening system using Sentence Transformers. Implemented semantic similarity matching and entity extraction. Developed Streamlit interface for recruiter workflows.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI technologies (multi-agent systems, RAG, Generative AI) and practical application across different domains (cyber defense, resume screening, research orchestration). This diversity and focus on real-world problem-solving align well with an innovative and results-driven culture. The listed soft skills also suggest a collaborative and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate lists problem-solving, adaptability, eagerness to learn, and collaboration as soft skills. These are crucial for an AI/ML Engineer role, especially in dynamic environments. The project descriptions suggest an ability to work on complex, multi-faceted systems, indicating good operational fit for roles requiring end-to-end development.