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Abhyudit AdhikariAA
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Abhyudit Adhikari

@abhyuditadhikari

AI/ML Engineer at NAVIO who cut LLM inference costs ~90% on a live shipping platform and built vision-based bill-of-lading extraction.

Nepal
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At NAVIO, I cut LLM costs ~90% on a live shipping platform by migrating shipment email parsing from OpenAI to Gemini. I also built vision-based bill-of-lading extraction for Pontus, with per-field bounding boxes for complex maritime documents.

At Dr.Fish, I trained a TensorFlow ResNet50 fish-disease classifier to 95% accuracy and deployed it for on-demand inference. I built the FastAPI backend serving the model to the user-facing app.

At CreoTech, I architected the MVP of a B2B employee-wellbeing platform using webcam-based posture estimation, eye-strain reminders, and guided exercises. My work also includes an AI CV screening platform and IEEE-published research on assistive navigation using YOLOv12 and MediaPipe pose estimation.

Experience

Work history, roles, and key accomplishments

CR
Current

AI Engineer

CreoTech

May 2026 - Present (6 months)

Architected the MVP of a B2B employee-wellbeing platform, including a webcam-based posture estimation tool with eye-strain reminders and guided exercises.

NA

AI Software Engineer

NAVIO

Oct 2025 - Feb 2026 (4 months)

Cut LLM costs ~90% by migrating a shipment email-parsing system from OpenAI to Gemini, using dynamic model routing, input sanitization, Redis caching, and atomic DB locking. Built B/L extraction for a live production shipping chatbot and implemented role-adaptive prompts and fault-tolerant regeneration workflows.

DR

ML Engineer

Dr.Fish

Feb 2024 - Nov 2025 (1 year 9 months)

Trained a TensorFlow ResNet50 fish-disease classifier to 95% accuracy and deployed it on Hugging Face, reducing latency from 200 ms to 120 ms. Built the FastAPI backend serving the model to the user-facing app.

Education

Degrees, certifications, and relevant coursework

IIT Madras Pravartak logoIP

IIT Madras Pravartak

Advanced Engineering Program, AI Agent Workflows & Agentic Systems

2026 -

Activities and societies: Coursework: multi-agent collaboration topologies, RAG and context engineering (pgvector, hybrid retrieval), multi-agent orchestration and observability (LangChain, LangGraph, LangSmith).

Advanced Engineering Program in AI Agent Workflows & Agentic Systems, expected to complete in November 2026.

Kathmandu University logoKU

Kathmandu University

Bachelor of Engineering, Computer Engineering

2022 - 2026

Grade: 3.60/4.0

Bachelor of Engineering in Computer Engineering with a CGPA of 3.60/4.0.

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