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AI Engineer with 1+ years in AI/ML, Python, and Cloud technologies
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate (AI & ML) with hands-on internship experience at a US-based AI company and a national research institute, building Python microservices, RESTful APIs and end-to-end ML solutions across computer vision, conversational AI and IoT safety. Skilled in Python, SQL, OOP, DSA, Git and CI/CD, with practical exposure to TensorFlow, Flask, AWS and Prompt Engineering. Built and published AI-powered projects including a legal assistant chatbot and an emergency safety web app. Eager to bring engineering fundamentals, research mindset & real-world project experience to Software Engineer or AI/ML role.
Vignan's Institute of Engineering for Women
B.Tech · Computer Science & Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Symbiosis Centre for Applied AI (SCAAI)
AI Research Intern
June 1, 2024 – July 1, 2025
Pune, Maharashtra, India
JMedia Corp
Artificial Intelligence Intern
November 1, 2023 – January 1, 2024
USA
Femora - AI Emergency Safety Web App
August 1, 2025 – June 1, 2026
• Built a voice- and gesture-triggered emergency web app using WebRTC and the Web Speech API, reducing alert dispatch latency from 5 seconds to under 2 seconds in load tests. • Embedded geolocation tagging and an automated fake-call module, enabling responders to locate callers within 15 metres while concealing distress signals from potential threats.
Ok!Asaan - AR/IoT Warehouse Safety System
June 1, 2024 – June 1, 2026
• Trained a TensorFlow detection model on 1,200 labelled images across 8 hazard classes, reaching a mean average precision of 0.81 and cutting warehouse inspection time from 40 to 20 minutes. • Deployed AR overlays across 3 Raspberry Pi nodes in compliance with ISO and HSE standards, reducing recordable safety incidents by more than half over a 3-month pilot period.
LISA - Legal AI Smart Assistant
March 1, 2024 – June 1, 2026
• Built an NLP-powered legal assistant chatbot using Python and Flask that interprets user queries in plain language and returns jurisdiction-relevant legal guidance, reducing average query resolution time significantly. • Designed a REST API backend to handle multi-turn conversations, with intent classification and response generation; college-published project recognised for applying AI to improve legal accessibility.
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applying AI to real-world problems, particularly in safety and accessibility, which aligns with an innovative and impact-driven culture. The breadth of technologies and project types (NLP chatbots, AR/IoT safety systems, web apps) indicates adaptability and a willingness to explore different domains within AI. However, the experience is primarily academic and internship-based, which might require some adjustment to a fast-paced, senior-level corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving abilities and a results-oriented approach, evidenced by quantifiable improvements in various metrics. Experience in authoring test suites and presenting findings suggests attention to quality and communication skills within a technical context. The academic and internship experiences indicate a proactive learning attitude and ability to work on diverse projects.