AI Engineer with less than a year in LLM fine-tuning and multi-agent systems.
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AI/ML Engineer with hands-on experience in LLM fine-tuning, multi-agent systems, and production-grade AI development. Proficient in transformer architectures, generative AI, RAG pipelines, and scalable backend infrastructure using Python, FastAPI, and cloud AI APIs.
Marwadi University (NAAC A+)
Bachelor of Technology · Computer Engineering (AI Specialization)
August 1, 2022 – June 30, 2026
Scaletech Solution
Backend & AI/ML Developer
March 1, 2026 – Present
Ahmedabad, Gujarat, India
Marwadi University
Python Developer
November 1, 2025 – February 1, 2026
Rajkot, Gujarat, India
MCQ Generator with RAG Pipeline
June 24, 2026 – Present
Developed an intelligent MCQ generator leveraging Retrieval-Augmented Generation (RAG) for context-aware question creation with a PDF processing pipeline for automated content extraction.
AI-Powered Multi-Agent Content Creation Studio
June 24, 2026 – Present
Architected a multi-agent AI system with 6 specialized agents (Trend Researcher, Analyzer, Content Strategist, Copywriter, Visual Creator, Content Packager) working in sequential coordination to automate end-to-end content creation workflows. Integrated multiple APIs including Azure OpenAI (GPT-4), Twitter API v2, YouTube Data API, Google Custom Search, and Gemini AI for comprehensive trend analysis and intelligent content generation. Developed Flask web interface with real-time WebSocket updates, workflow visualization, and responsive layout achieving 30-90 second generation time for complete multi-platform content packages.
Prophet Forecasting for Portfolio Optimization
June 24, 2026 – Present
Developed an automated stock portfolio optimization system using Facebook Prophet for time-series forecasting and Markowitz Modern Portfolio Theory for risk-adjusted asset allocation. Built an interactive Streamlit dashboard with cloud storage via Supabase for real-time performance tracking and implemented CI/CD pipeline using GitHub Actions for automated daily execution.
View ProjectTransformer Architecture from Scratch
June 24, 2026 – Present
Implemented a full Transformer model from scratch using PyTorch, covering scaled dot-product self-attention, multi-head attention, positional encoding, feed-forward layers, and complete encoder-decoder architecture. Developed to deepen architectural understanding of large language models such as GPT and BERT at a fundamental level, without reliance on high-level APIs or pre-built modules.
Generative AI – Oracle Race to Certification
Oracle
October 1, 2025 – Present
Explore Machine Learning using Python
Infosys Springboard
March 1, 2025 – Present
Database Programming with SQL
Oracle Academy
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including multi-agent systems, RAG pipelines, and portfolio optimization, indicates a broad interest in AI applications and a proactive learning approach. The academic background in Computer Engineering with AI specialization and participation in hackathons align well with an innovative and growth-oriented culture. The experience in developing a unified university platform also shows an ability to work on comprehensive systems.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through diverse personal projects. The multi-agent system project highlights an ability to architect complex solutions and integrate multiple technologies. The academic record and hackathon participation suggest a driven and collaborative individual. However, the current experience level is limited, which might impact immediate operational autonomy in a senior role.