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AI Engineer with 1+ years in Backend Systems, RAG Pipelines & LLM Workflows
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Solution Engineer with 1+ years of experience building scalable backend systems, RAG pipelines, multi-agent LLM workflows, and automation platforms using FastAPI, PostgreSQL, React.js, and AWS.
Lok Jagruti Institute of Engineering and Technology
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Innovatics
AI/ML Solution Engineer
June 1, 2025 – Present
Ahmedabad, Gujarat, India
Aliter Business Solutions Pvt Ltd
JavaScript Developer Intern
January 1, 2024 – June 30, 2024
Ahmedabad, Gujarat, India
VisionaryX – Computer Vision Platform
January 1, 2024 – Present
• Built scalable video ingestion, annotation, and VLM inference pipelines using Django, FastAPI, RabbitMQ, and PyTorch. • Automated annotation migration, bounding box enrichment, and person re-identification workflows.
Task Detection System – Speech AI
January 1, 2024 – Present
• Developed speech-to-task assignment system using Deepgram API and transformer-based validation logic.
AgenticCompany – AI Chatbot Platform
January 1, 2024 – Present
• Developed AI-driven chatbot platform with FastAPI, Redis, PostgreSQL + pgvector, OpenAI, Groq, and Gemini. • Built query execution agents, FAQ matching engine, and prompt-engineered SQL generation workflows.
FlowML ML Automation Framework
January 1, 2024 – Present
• Developed end-to-end ML framework with FastAPI, PySpark, React.js, and AWS cloud services. • Automated model training and deployment pipelines reducing rollout effort by 70%.
AskAtlas - Conversational AI Platform
January 1, 2024 – Present
• Built conversational AI platform with Rasa, LLMS, WhatsApp API, and FastAPI for real-time AI interactions. • Implemented secure data upload and AI training workflows with responsive React.js UI.
Cultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards innovative AI/ML projects, both in professional experience and personal projects. This aligns well with a culture that values cutting-edge technology and continuous learning. The breadth of technologies used (FastAPI, Django, PyTorch, LLMs, RAG, various databases) suggests a versatile individual who can adapt to different tech stacks. The focus on building scalable and automated systems indicates a results-oriented approach, which is generally a good cultural fit for fast-paced tech environments. The candidate's current role as an AI/ML Solution Engineer further reinforces alignment with an AI-centric organizational culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on building end-to-end solutions. The experience in automating ML workflows suggests an operational mindset towards efficiency. The diversity of projects implies adaptability and a willingness to tackle different technical challenges. However, without direct interaction or psychometric test results, a deeper assessment of soft skills like teamwork, communication style, and stress handling is not possible.