# Abhinav Prakash

Abhinav Prakash is a remote worker on Himalayas, AIOps Consultant at Tredence Analytics, based in India.

Source: https://himalayas.app/@abhinavprakash3

```text
I build production GenAI, RAG, and AIOps systems for enterprise workflows.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Machine Learning Engineer, AIOps Consultant, MLOps Engineer, Generative AI Engineer |
| Skills | Python, Pandas, NumPy, Scipy, MySQL, BASH, PySpark, Flask, Django, fastAPI, TensorFlow, PyTorch, scikit learn, Keras, XGBoost, Hugging Face Transformers, AWS, AWS Sagemaker, S3, EC2, AWS Lambda, Amazon Bedrock, GCP, BigQuery, Cloud Run, Azure, Azure AI Search, Azure Document Intelligence, Azure ML Studio, Docker, CI CD, GitHub Actions, Langsmith, Langfuse, Large Language Models, Natural Language Processing, Generative AI, Computer Vision, predictive modeling, RAG, Agent Architectures, MLOps, AI Ops, Machine Learning, Deep Learning, Model Monitoring, System Design |
| LinkedIn | https://linkedin.com/in/abhinav-prakash-3725861a0 |

## What I'm looking for

```text
I'm looking to build production-grade AI/ML and GenAI systems, especially LLM, RAG, AIOps, and cloud-native solutions that improve reliability, traceability, and real-world business outcomes.
```

## About

```text
I'm building GenAI-driven AML solutions at Tredence Analytics, including automated case summarization and decision support for investigation workflows.

I develop LLM pipelines using RAG and agentic workflows, and implement evaluation and monitoring frameworks that improve output reliability, traceability, and robustness. I work closely with data engineering, compliance, and business teams to align systems with real-world AML requirements.

Previously at Ankercloud GmbH, I built end-to-end ML pipelines on AWS and GCP, integrated LLMs for document analysis, synthetic data generation, and RAG chatbots, and automated deployments through CI/CD and AWS SageMaker pipelines.
```

## Experience

### AIOps Consultant (current)

Tredence Analytics. Jun 2025 - Present

```text
Developed GenAI-driven solutions for AML systems, enabling automated case summarization and decision support. Built and deployed LLM-based pipelines (RAG + agentic workflows) for processing regulatory and investigation data.
```

Skills: Generative-AI, LLM, RAG, Agentic-Workflows, AML, Python, fastAPI, Azure, Evaluation-Frameworks, Monitoring

### Machine Learning Engineer

Ankercloud GmbH. May 2023 - Jun 2025

```text
Developed end-to-end ML pipelines covering data ingestion, preprocessing, model training, and deployment on AWS and GCP. Contributed to Generative AI initiatives, integrating LLMs for document analysis, synthetic data generation, and RAG chatbots.
```

Skills: Machine-Learning, Python, AWS, GCP, Generative-AI, LLM, RAG, CI-CD, GitHub-Actions, Sagemaker

## Education

### CDAC-Kharghar

PG Diploma, Big Data Analytics. 2022 - 2023. Grade: 82.13%

```text
PG Diploma in Big Data Analytics from CDAC-Kharghar with a percentage of 82.13%.
```

### Birla Institute of Technology, Mesra

Bachelor of Engineering, Mechanical Engineering. 2016 - 2020. Grade: 7.2 CGPA

```text
Bachelor of Engineering in Mechanical Engineering from Birla Institute of Technology, Mesra with a CGPA of 7.2.
```

## Tech stack

- Amazon EC2
- Amazon S3
- GitHub Actions
- NumPy
- Pandas
- PySpark
- MySQL
- Django
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- Flask
- FastAPI
- AWS Lambda
- Docker
- Amazon SageMaker
- XGBoost
- SciPy
- Langfuse
- Bash
- LangSmith

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

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