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Shubhajit Mandal

@shubhajitmandal

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Software Engineer @Akatsuki AI building AI-powered applications and scalable backend systems.

India

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What I'm looking for

I’m looking for a Software Developer role where I can build AI-driven features, own backend services, and improve deployment reliability—shipping useful products while learning fast in a strong engineering team.

I’m a Software Developer focused on shipping AI-enabled products end-to-end, from orchestration and APIs to the final user experience. At Akatsuki AI Technologies, I built an ambient sales agent that auto-generates first-draft pitch decks in Slack when appointments are logged.

I designed a FastAPI backend that ingests CRM triggers and orchestrates research across external news, client signals, and internal solutions via the Claude API to synthesize tailored proposals. I also integrated the Slack API with thread-aware state management so reps can request revisions by mention and receive updated decks in-thread.

Beyond work, I’ve developed projects like HostEazy (Docker, AWS ECS, S3, Kafka, ClickHouse) for one-click React deployment with event-driven logging, and QuizAI (Express, MongoDB, JWT, Llama/Grok) for role-based quiz generation. I enjoy tackling reliable automation, clean backend architectures, and practical ML-driven features.

Experience

Work history, roles, and key accomplishments

Current

Fullstack Engineer

Current

Akatsuki AI Technologies

Dec 2025 - Present (6 months)

Built a sales agent that auto-generates draft pitchdecks in Slack when meetings are logged eliminating app-switching and manual prompting. Developed a FastAPI backend that orchestrates CRM triggers, external research, and Claude-powered proposal generation. Automated brand-consistent PowerPoint creation with python-pptx and enabled thread-aware Slack revisions for seamless in-channel collaboration

Next.js Python AI Agents AI Agent Development AI Agentic Workflow AI Agents Development Docker GCP GCP Networking

Project Intern

Oracle

Jun 2025 - Aug 2025 (2 months)

Developed an insurance claim fraud detection system using feature engineering and a Random Forest classifier to flag suspicious claims, and built an Oracle APEX interface for provider-level fraud risk with dynamic scoring.

Feature Engineering Random Forest Machine Learning Fraud Detection Apex Risk Scoring Data Analysis Frontend Development

Education

Degrees, certifications, and relevant coursework

Bangalore Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2022 - 2026

Grade: 8.7

Activities and societies: Core Member, Roboclub (managed a 60+ participant robotics competition) May 2023–Jan 2024; Member, Google Student Developer Club Dec 2022–present; 1st position in HackIT coding round (120+ participants) Feb 2023.

Pursuing a Bachelor of Engineering in Computer Science and Engineering (ICB), graduating in 2026; CGPA 8.52 (till 7th sem).