Resume
Samanvya Tripathi
AI Engineer · Boston, MA
AI Engineer with 5+ years building production ML systems, including edge inference on Raspberry Pi, enterprise RAG pipelines, and multi-agent platforms. Shipped computer vision models and LLM services at Honeywell and two startups. MS Computer Science, Northeastern University.
Experience
AI Engineer
Dec 2025 - PresentNymbl · Boston, MA
- Architecting an enterprise Model Context Protocol (MCP) tool server with dynamic discovery, validation, workflow CRUD, and monitoring for a B2B AI platform
- Built a Retrieval-Augmented Generation (RAG) knowledge base platform with Qdrant vector search, Docling document chunking, gap analysis, and a Use Case Readiness scoring engine
- Developed real-time content moderation system with social media ingestion, severity classification, and compliance-aligned detection
- Delivering production features in Python (FastAPI, Qdrant, Docling) and TypeScript (React, Next.js, PostgreSQL) with Docker and AWS deployments
Machine Learning Engineer
Jan 2025 - Dec 2025BulkMagic · Boston, MA
- Engineered a product summarization service using Llama 3.2 on FastAPI, deployed to AWS ECS with auto-scaling
- Built containerized microservices with 99.9% API uptime in production
- Created data validation pipelines processing thousands of product records with automated quality checks
Software Engineer Co-op
Jan 2024 - Aug 2024Honeywell · Fort Mill, SC
- Optimized object detection models to 98.6% mAP for production computer vision systems in industrial settings
- Trained transformer-based image enhancement pipeline, 32% gain on target detection metrics
- Deployed edge AI inference models using TFLite and ONNX Runtime on embedded hardware
Graduate Teaching Assistant
Sep 2023 - Dec 2023Khoury College of Computer Sciences · Boston, MA
- Supported 200+ students in Introduction to Data Science (CS3000) through weekly office hours, assignment grading, and curriculum development
Machine Learning Engineer
Jan 2020 - Sep 2021Myelin Foundry · Bangalore, India
- Built super-resolution deep learning models optimized for on-device mobile inference
- Shipped real-time browser-based ML inference using TensorFlow.js and WebGL for consumer products
- Deployed anomaly detection systems on Raspberry Pi for industrial IoT monitoring in production
- Prototyped FPGA-based ML inference pipelines for low-latency edge computing applications
Education
MS Computer Science
Aug 2022 - Dec 2024Northeastern University · Boston, MA
Focus: Machine Learning, Computer Vision, Natural Language Processing (NLP)
B.Tech Computer Science
2016 - 2020SRM University · Chennai, India
Secretary, ACM SIGAI Chapter
Skills
languages
PythonTypeScriptJavaSQL
frameworks
PyTorchTensorFlowFastAPINext.jsReactLangChain
ml Tools
HuggingFace TransformersONNX RuntimeTFLitevLLMWeights & Biases
cloud
AWS (ECS, Lambda, S3, SageMaker)Google CloudDockerKubernetes
domains
Computer VisionNatural Language Processing (NLP)LLMs/RAGVoice AIEdge AIMulti-Agent Systems
Hackathons
1st PlaceMIT LLM Hackathon for Chemistry & Materials2025
Best Use of Google CloudHackHarvard2022
Best AI/ML HackHackUMass2022