AI Engineer with 4+ years in Python, AI systems, and full-stack development.
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 Software Engineer and AI/LLM Engineer with experience in Python development, agentic AI systems, and Large Language Model (LLM) workflows. Skilled in LangChain, LangGraph, prompt engineering, tool calling, structured AI workflow design, and model evaluation. Experienced in building full-stack applications using React.js, Next.js, Django, and Flask, including live production projects such as the Tvisaa Jewellery platform. Strong foundations in Data Structures, OOP, DBMS, and Operating Systems.
Vishwakarma Institute of Information Technology
Bachelor of Technology · Information Technology
December 1, 2021 – June 1, 2025
ASHOK VIDYALAYA
HSC
June 1, 2019 – June 1, 2021
Sinhgad Spring Dale Public School
CBSE
June 1, 2018 – June 1, 2019
Turing
Software Engineer (POD Lead)
December 1, 2021 – Present
India
AI YouTube Assistant (Chrome Extension)
December 1, 2021 – June 1, 2026
Built a Chrome extension that captures real-time YouTube audio, converts speech to text using the Web Speech API, and answers user queries based on transcribed content. Integrated Google Gemini API to generate context-aware conversational responses grounded in video transcripts. Implemented a multimodal screenshot-to-chat feature enabling users to query using both text and images. Designed a real-time processing pipeline to handle continuous audio streams and ensure low-latency responses. Developed an intuitive in-browser chat interface seamlessly integrated with YouTube for enhanced user interaction.
View ProjectTVISAA Jewellery E-Commerce Platform
December 1, 2021 – June 1, 2026
Architected and deployed a cloud-native e-commerce platform using Azure Container Apps, Amazon RDS PostgreSQL, Amazon S3, and CloudFront CDN, supporting 100+ products and scalable growth. Developed 25+ Django REST API endpoints powering product management, order processing, contact workflows, and dynamic storefront functionality. Implemented auto-scaling container infrastructure on Azure Container Apps, enabling automatic resource scaling and reducing manual deployment effort by 80%. Configured secure cloud networking, secrets management, and cross-cloud connectivity between Azure and AWS services, achieving 99.9% application availability. Leveraged Amazon S3 and CloudFront CDN for media storage and delivery, reducing image load times by approximately 60% and improving overall page performance. Optimized database queries, caching strategies, and API response handling, reducing backend response times by 40% and improving user experience.
Fractal Data Science Professional Certificate
Fractal
June 1, 2026 – Present
Rising Star Award for outstanding performance at Turing
Turing
June 1, 2026 – Present
Cybage Hackathon Finalist
Unknown
January 1, 2024 – Present
The Data Science Course: Complete Data Science Bootcamp 2024
365 Careers
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from an e-commerce platform to an AI-powered Chrome extension, indicates adaptability and a broad interest in technology. Their current role as a Software Engineer (POD Lead) at Turing, focusing on LLM workflows and AI model evaluation, aligns well with an AI Engineer target role. The certifications in Data Science further support their commitment to the AI/ML domain. The blend of personal and professional projects, along with hackathon participation, suggests a proactive and engaged individual who is likely to contribute positively to a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and a proactive approach to learning new technologies. Their leadership role at Turing suggests good organizational and team coordination abilities. The detailed project descriptions indicate a structured approach to development and optimization. However, without specific psychometric or English test scores, a comprehensive assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is limited.