AI Engineer with less than a year in Production-Grade AI Voice Platforms & Document Processing
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Results-driven Software Engineer – AI/ML with hands-on experience building production-grade AI voice platforms, intelligent document processing systems, and agentic automation pipelines. Proficient in Python, FastAPI, LLM/GenAI integrations (OpenAI GPT-40, Gemini, Sarvam AI), real-time WebSocket architectures, and React dashboards. Certified by Google Cloud, IBM, AWS, Tata, and Deloitte. CGPA 8.54 from Amity University Patna.
Amity University Patna
B.Tech · Computer Science & Engineering
October 1, 2021 – June 1, 2025
doodleblue Innovations Pvt. Ltd.
Software Engineer – AI/ML
February 1, 2026 – Present
Chennai, Tamil Nadu, India
doodleblue Innovations Pvt. Ltd.
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Cultural Fit Analysis
The candidate's project diversity, ranging from AI healthcare assistants to debt collection platforms and document processing, indicates a broad interest in applying AI across various domains. Their involvement in academic projects and multiple internships, alongside a full-time role, shows a strong drive and willingness to learn and contribute. The certifications from various industry leaders (Google Cloud, IBM, AWS, Tata, Deloitte) further demonstrate a proactive attitude towards skill development and alignment with industry best practices. The target role of AI Engineer aligns well with their current experience and stated interests.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach, evidenced by quantifiable achievements like reducing AI response latency and improving data quality. Their experience in agile teams and leading end-to-end builds suggests strong project ownership and collaboration skills. The ability to enforce compliance (RBI Fair Practice Code) and handle multi-tenant architectures indicates a good understanding of operational constraints and security best practices. The diverse project portfolio also suggests adaptability and problem-solving capabilities.