What I specialize in.
Monish Raman
Vishakraman
AI engineer building agentic systems, voice agents, and quantized LLMs.
I build production AI systems: voice agents that handle live conversation, multi-agent systems that coordinate specialist work, and large models compressed to run efficiently on constrained hardware.
I focus on latency, faithfulness, and fairness.
AI Engineer at Blood & Treasure in New York.Previously Incluya, ISRO, and Fortinet.MS Computer Engineering, NYU '26.
Based inNew York City
EducationNYU · MS Computer Engineering '26
FocusAgents · Voice · Quantization
Open toFull-time roles
What I specialize in.
Monish Raman
Vishakraman
AI engineer building agentic systems, voice agents, and quantized LLMs.
I build production AI systems: voice agents that handle live conversation, multi-agent systems that coordinate specialist work, and large models compressed to run efficiently on constrained hardware.
I focus on latency, faithfulness, and fairness.
AI Engineer at Blood & Treasure in New York.Previously Incluya, ISRO, and Fortinet.MS Computer Engineering, NYU '26.
Based inNew York City
EducationNYU · MS Computer Engineering '26
FocusAgents · Voice · Quantization
Open toFull-time roles
JavaScript
Chrome API
DOM Capture
Webpack
Jest
PyTorch
TensorFlow
LSTM
Autoencoder
Telemetry
LangGraph
RAG
FastAPI
Agents
Postgres
TypeScript
Vercel
Caching
Observability
Serverless
Python
LLM Systems
Production ML
Developer Tools
Work Experience.
Click a company to see details
Work Experience.
Projects.
Projects.
Patents.
- 012025
“An Autonomous (UAV) System For Enhanced Human Target Detection And Acquisition”
Patent application no. 202541052751 (Published), 30.05.2025See the project →
Patents.
- 012025
“An Autonomous (UAV) System For Enhanced Human Target Detection And Acquisition”
Patent application no. 202541052751 (Published), 30.05.2025See the project →
Publications.
- 012025
Edge Computing in Educational Technology: The Power of Edge AI for Dynamic and Personalized Learning
Book Chapter↗ - 022025
KNN for Exploratory Drug Risk Analysis and Patient Well-Being
LNNS↗ - 032024
Cloud-Based Real-Time Sign Language Detection and Voice Synthesis for Impaired Individuals Using Machine Learning
CCIP 2023↗ - 042023
IoT-based Autonomous Search & Rescue Drone for Precision Firefighting
Journal↗
Publications.
- 012025
Edge Computing in Educational Technology: The Power of Edge AI for Dynamic and Personalized Learning
Book Chapter↗ - 022025
KNN for Exploratory Drug Risk Analysis and Patient Well-Being
LNNS↗ - 032024
Cloud-Based Real-Time Sign Language Detection and Voice Synthesis for Impaired Individuals Using Machine Learning
CCIP 2023↗ - 042023
IoT-based Autonomous Search & Rescue Drone for Precision Firefighting
Journal↗
Education.
New York University
M.S., Computer Engineering
- Dates
- Sep 2024 → May 2026
- Location
- New York City, NY
- GPA
- 3.74 / 4.0
- Deep Learning
- MLOps
- Efficient AI & Hardware Accelerator Design
- Computing Systems Architecture
Graduate focus on efficient AI, LLM inference optimization, and quantization.
Education.
New York University
M.S., Computer Engineering
- Dates
- Sep 2024 → May 2026
- Location
- New York City, NY
- GPA
- 3.74 / 4.0
- Deep Learning
- MLOps
- Efficient AI & Hardware Accelerator Design
- Computing Systems Architecture
Graduate focus on efficient AI, LLM inference optimization, and quantization.
M.S. Ramaiah Institute of Technology
B.E., Computer Science & Engineering
- Dates
- Dec 2020 → Jun 2024
- Location
- Bangalore, India
- GPA
- 3.73 / 4.0
- Machine Learning
- Computer Vision
- Reinforcement Learning
- Design & Analysis of Algorithms
Undergraduate foundations in algorithms, vision, and robotics.
M.S. Ramaiah Institute of Technology
B.E., Computer Science & Engineering
- Dates
- Dec 2020 → Jun 2024
- Location
- Bangalore, India
- GPA
- 3.73 / 4.0
- Machine Learning
- Computer Vision
- Reinforcement Learning
- Design & Analysis of Algorithms
Undergraduate foundations in algorithms, vision, and robotics.
Contact.
For roles, research, or quiet conversation
mv2734@nyu.edu