# Aditya Abhiram User

Aditya Abhiram User is a remote worker on Himalayas, Machine Learning Engineer at Azista Space, based in India.

Source: https://himalayas.app/@adityaabhiramuser

```text
AI Engineer at Azista Space building AARYA, a production multi-agent platform for a Government of India client.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 75k+ USD |
| Job categories | AI Engineer, Machine Learning Engineer, AI Developer, AI Research Analyst |
| Skills | Model Context Protocol, Hybrid Retrieval, Vector Search, Geospatial Data, Computer Vision, Satellite Data Processing, Model Training, Multi agent orchestration, LLM Evaluation, RAG, Prompt Engineering, Tool calling, Structured Outputs, LangGraph, Model Context Protocol (MCP), LLM Tracing, Python, PyTorch, fastAPI, PostgreSQL, Pgvector, PostGIS |
| LinkedIn | https://linkedin.com/in/adityaabhiram |
| GitHub | https://github.com/Adityaabhiram315 |

## About

```text
At Azista Space, I built AARYA end to end from v0 to v3 for a Government of India client. Its LangGraph architecture routes work to six specialist agents, validates claims, and streams results from an air-gapped, on-premise platform.

I built an evaluation loop with a golden dataset and claim-level pass/fail criteria, improving citation accuracy to over 95% after tracing and fixing citation mapping. I also added per-agent observability and guardrails for the regulated domain.

Earlier, I built a satellite-image visual search engine during my internship at Azista Space and a structured-extraction service at METI Global AI Programme. At ISRO’s National Remote Sensing Centre, I built a satellite super-resolution pipeline that improved PSNR by 5.4 dB.
```

## Experience

### Machine Learning Engineer (current)

Azista Space. Jan 2026 - Present

```text
Designed a LangGraph multi-agent architecture for a secure multi-agent RAG platform, built an evaluation loop with claim-level pass/fail criteria, and delivered v3 with licence-cleared models and MCP tool servers. Also developed a computer-vision model training platform with PyTorch and Django.
```

Skills: LangGraph, RAG, LLM-Evaluation, Prompt-Engineering, PyTorch, Django, Celery, RabbitMQ, Docker, Multi-Agent-Systems, Qwen-3, Gemma, LLamacpp, Ultralytics-YOLO, Python, fastAPI, OWASP-Top-10, RBAC, PostgreSQL, Pgvector, PostGIS, Neo4j, Langfuse, Prometheus, Grafana, OWASP, MCP

### AI Developer

METI Global AI Programme (Government of Japan). Oct 2025 - Dec 2025

```text
Implemented LLM structured extraction in production using GPT-4o and FastAPI, and contributed to a serverless AWS Amplify AI banner generator as part of a three-person team.
```

Skills: Serverless, Structured-Extraction, GPT-4o, fastAPI, AWS-Lambda, DynamoDB, React, TypeScript, AppSync, GraphQL, S3, OpenAI

### AI/ML Engineering Intern

Advanced Pixel Research & Intelligence Lab (Azista Space). Aug 2025 - Oct 2025

```text
Built a satellite-image visual search engine using RemoteCLIP embeddings and FAISS indexing for generic and ship detection.
```

Skills: Python, RemoteCLIP, Faiss, Computer-Vision, Satellite-Imagery

### AI/ML Research Analyst

ISRO – National Remote Sensing Centre, Department of Space (. Jul 2024 - Jan 2025

```text
Built a multi-stage satellite super-resolution pipeline with ESRGAN and VGG perceptual loss, and developed MLflow tracking and deployment pipelines.
```

Skills: PyTorch, CUDA, ESRGAN, SuperResolution, MLFlow, GeoTIFF, Computer-Vision

### AI/ML Research Analyst

ISRO – National Remote Sensing Centre, Department of Space (. Jul 2024 - Jan 2025

```text
Built a multi-stage satellite super-resolution pipeline with ESRGAN and PyTorch, and developed MLflow tracking and deployment pipelines.
```

Skills: PyTorch, ESRGAN, CUDA, MLFlow, GeoTIFF, SuperResolution

## Education

### Chandigarh University

Bachelor of Engineering, Computer Science & Engineering (AI & ML). 2021 - 2025

```text
Pursued a Bachelor of Engineering in Computer Science and Engineering with a focus on AI and ML, in collaboration with IBM.
```

## Tech stack

- AWS Amplify
- Amazon S3
- PostGIS
- PostgreSQL
- Django
- Neo4j
- OpenCV
- React
- Python
- PyTorch
- MLflow
- scikit-learn
- RabbitMQ
- Celery
- FastAPI
- Grafana
- Prometheus
- GraphQL
- AWS Lambda
- TypeScript
- Amazon Cognito
- Git
- Docker
- CUDA
- Cursor
- Langfuse
- Llama.cpp
- pgvector
- Faiss
- LangGraph
- Model Context Protocol (MCP)
- Qwen
- Claude Code
- Retrieval-Augmented Generation (RAG)
- Ultralytics
- AWS
- OpenAI

To contact Aditya Abhiram, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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