What I specialize in.
Monish Raman
Vishakraman
AI engineer building agentic systems, voice agents, and quantized LLMs , designed like museum pieces.
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. My focus is on mainly, latency, faithfulness, and fairness.
Previously at NYU, ISRO, and Blood & Treasure. Currently in New York, graduated May 2026.
Based inNew York City
StudyingNYU · MS Computer Engineering
FocusAgents · Voice · Quantization
AvailableFull-time · 2026
What I specialize in.
Monish Raman
Vishakraman
AI engineer building agentic systems, voice agents, and quantized LLMs , designed like museum pieces.
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. My focus is on mainly, latency, faithfulness, and fairness.
Previously at NYU, ISRO, and Blood & Treasure. Currently in New York, graduated May 2026.
Based inNew York City
StudyingNYU · MS Computer Engineering
FocusAgents · Voice · Quantization
AvailableFull-time · 2026
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.
a knowledge corpus: click any node to open the dossier
Work Experience.
Projects.
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
CCIP↗ - 042023
IoT-based Autonomous Search & Rescue Drone for Precision Firefighting
Journal↗
Co-authored across edge intelligence, healthcare ML, accessible AI, and autonomous systems. The throughline: small models doing serious work in constrained environments.
Stack across the papers
- Python
- PyTorch
- LangChain
- CrewAI
- FastAPI
- ONNX
- Intel
- Hugging Face
- NumPy
- Docker
- Kubernetes
- Ray
- MLflow
- Prometheus
- Grafana
- OpenCV
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
CCIP↗ - 042023
IoT-based Autonomous Search & Rescue Drone for Precision Firefighting
Journal↗
Co-authored across edge intelligence, healthcare ML, accessible AI, and autonomous systems. The throughline: small models doing serious work in constrained environments.
Stack across the papers
- Python
- PyTorch
- LangChain
- CrewAI
- FastAPI
- ONNX
- Intel
- Hugging Face
- NumPy
- Docker
- Kubernetes
- Ray
- MLflow
- Prometheus
- Grafana
- OpenCV
Education.
Two institutions, one continuous curriculum: from algorithmic foundations in Bangalore to efficient AI research in New York.
Plate · 01
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.
Two institutions, one continuous curriculum: from algorithmic foundations in Bangalore to efficient AI research in New York.
Plate · 01
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.
Plate · 02
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
- Data Structures
- Design & Analysis of Algorithms
- Database Management
- Robotics
- Advanced Calculus
Undergraduate foundations in algorithms, vision, and robotics.
Plate · 02
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
- Data Structures
- Design & Analysis of Algorithms
- Database Management
- Robotics
- Advanced Calculus
Undergraduate foundations in algorithms, vision, and robotics.