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AI Engineer with less than a year in Machine Learning & Computer Vision
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 Machine Learning Engineer with hands-on experience in computer vision, NLP, and deep learning. Skilled in Python, TensorFlow, and PyTorch, with strong foundations in data analysis and model deployment. Looking for opportunities in Data Analytics and ML expertise on real-world problems and contribute to cutting-edge AI solutions.
Maharaja Agrasen Institute of Technology
B.Tech · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Apeejay School, Pitampura
Class XII (CBSE)
June 1, 2020 – May 31, 2021
Apeejay School, Pitampura
Class X (CBSE)
June 1, 2018 – May 31, 2019
AI Legal Assistant using RAG and MoE
January 1, 2026 – Present
Developed AI legal assistant using RAG and MoE for legal analysis Built semantic retrieval pipelines using embeddings and legal judgment databases Designed expert-routing workflows for domain-specific legal query classification Integrated LLM capabilities for summarization, precedent retrieval, and section prediction
Multimodal Identifier Based Secure Facial Attendance System
January 1, 2024 – Present
Designed a real-time face recognition system with 500ms response time Managed 100,000+ records with minimal performance degradation Implemented anti-spoofing and multimodal authentication achieving 91% accuracy Automated dataset preparation, reducing training effort by 30%
Google Data Analytics
June 1, 2026 – Present
Discover Quantitative Research
JPMorgan Chase & Co.
June 1, 2026 – Present
Machine Learning Engineer - Skill India (PMKVY)
Skill India (PMKVY)
January 1, 2025 – Present
CS50's Introduction to Cybersecurity - HarvardX
HarvardX
January 1, 2025 – Present
IBM Skills Build: Mastering Data with Machine Learning Internship
IBM SkillsBuild
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI to diverse domains (legal, security). The certifications and internships, while varied, show a broad interest in technology and continuous learning. The 'Position of Responsibility' in AIESEC suggests engagement in extracurricular activities and a collaborative mindset. The blend of technical and soft skills, along with a proactive learning attitude, indicates a good potential cultural fit for a dynamic AI engineering team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, teamwork, critical thinking, and communication skills. Project descriptions indicate an ability to work on complex systems and manage performance requirements. Experience in various internships, though not directly AI-focused, suggests adaptability and a willingness to learn in different operational environments. The 'Position of Responsibility' section also indicates leadership and market research experience, which could translate to understanding business needs in an AI role.