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Software Engineer with 1+ years in AI/ML, Cloud & Fullstack 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
Highly skilled Software Engineer with 1.8 years of experience in AI/ML, Cloud platforms, and full-stack development. Proficient in building automated systems, migrating monolithic architectures to microservices, and implementing RAG chatbots using advanced LLMs. Demonstrated expertise across FastAPI, Docker, Kubernetes, AWS, Azure, GCP, and various databases, consistently delivering scalable and efficient solutions for complex engineering challenges.
Brainware University
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Intellecta - AI-Powered Document Analysis Platform
June 24, 2026 – Present
Built a full-stack document-trained chatbot platform supporting semantic chunking and context-aware chat. Backend: FastAPI, MongoDB, S3, Pinecone; Frontend: React + MUI. Containerized via Docker, deployed on Kubernetes with GitHub Actions CI/CD and Azure App Service. Integrated JWT authentication, secure file handling, and scalable async document pipelines.
Open Source Contributor – DistillKit
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI-powered platforms and real-time data processing, demonstrates a broad interest in modern technologies. The experience across multiple cloud providers (AWS, Azure, GCP) and various frameworks indicates adaptability. The open-source contribution to DistillKit suggests a collaborative spirit and willingness to contribute to the wider tech community. The competitive programming background implies a drive for excellence and problem-solving, which generally aligns well with innovative and fast-paced technical cultures. However, the candidate is still pursuing a B.Tech degree, which might indicate a junior-to-mid-level cultural fit rather than a senior-level one, despite the advanced technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a strong technical drive. The experience in migrating monolithic systems to microservices and optimizing infrastructure costs suggests an operational mindset focused on efficiency. The open-source contributions and competitive programming achievements highlight self-motivation and a continuous learning attitude. However, without direct interview data, specific soft skills like teamwork, communication style, or stress handling cannot be fully assessed.