AI Engineer with 3+ years in Generative AI, LLM Orchestration & ETL Pipelines
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Assessing your cultural and operational fit
Highly skilled AI/ML Engineer with 3.75 years of experience in architecting and deploying AI-powered systems. Proficient in Generative AI, Retrieval-Augmented Generation (RAG), and LLM Orchestration, specializing in healthcare workflows. Proven track record in designing scalable ETL pipelines, building multi-agent AI systems using LangGraph and CrewAI, and implementing semantic caching for cost optimization. Expertise spans Python, Java, SQL, and various cloud/AI services including Azure OpenAI and Qdrant.
Charusat University
B.Tech · Computer Engineering
August 1, 2019 – June 30, 2023
Shree Gattu Vidyalaya
Higher Secondary School
June 1, 2018 – May 31, 2019
ViitorCloud Technologies Pvt Ltd
Software Engineer (AI/ML)
June 1, 2025 – Present
Ahmedabad, Gujarat, India
Meditab Software Pvt Ltd
Programmer Analyst
December 1, 2022 – June 1, 2025
Ahmedabad, Gujarat, India
ChefAtHome FoodTech LLP
Python Developer Intern
May 1, 2022 – July 1, 2022
Chennai, Tamil Nadu, India
Parentish(Android App)
June 24, 2026 – Present
Built a parental control Android application enabling parents to restrict child device usage to approved applications. Designed and developed SQLite database architecture and integrated YouTube API, Google Mail API, Picture-in-Picture mode, notification blocking, assistive touch, and display-over-app features. Published on Google Play Store with 100+ downloads and 15+ active devices.
ResoScan
June 24, 2026 – Present
Implemented TF-IDF and NLP techniques to analyze, rank, and score resumes from large datasets.
Cultural Fit Analysis
The candidate's diverse project experience, including personal Android app development and AI/ML roles in different companies, indicates adaptability and a broad interest in technology. Their work on healthcare-related AI systems aligns well with roles requiring impactful and responsible AI development. The breadth of skills across Python, Java, and various AI frameworks suggests a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing systems and reducing latency. Their experience in healthcare AI suggests an ability to work with complex, sensitive data and regulated environments. The project descriptions indicate a proactive approach to development and a focus on delivering tangible results.