Available for work
Bangalore, India

Hi, I'm

Akhilesh J

AI/ML Engineer

I design and build intelligent, scalable AI systems with a strong focus on Generative AI APIs, large language model integration, prompt engineering, and backend architecture.

0+ Years of Experience
0+ Projects
0+ AI Models Deployed
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01

About.

I'm an AI/ML Engineer who thrives at the intersection of research and production.

I design and build intelligent, scalable AI systems with a strong focus on Generative AI APIs, large language model integration, prompt engineering, and backend architecture. From orchestrating multi-agent systems to fine-tuning LLMs for domain-specific tasks, I bring AI from concept to production.

My approach combines rigorous engineering practices with creative problem-solving. I believe that the best AI applications are those that feel invisible — seamlessly integrated into the tools people use every day.

Name Akhilesh J
Role AI/ML Engineer
Location Bangalore, India
Focus GenAI APIs & LLM Integration

AI-First Thinking

Designing solutions where AI is the core, not a bolt-on feature.

Production-Grade Code

Engineering robust, scalable AI systems built for the real world.

Full-Stack AI

From data pipelines to model deployment to user-facing interfaces.

02

Skills & Arsenal.

AI & Machine Learning

LLMs RAG Systems Fine-Tuning Prompt Engineering Multi-Agent Systems Computer Vision Embedding Models

Frameworks & Platforms

Hugging Face OpenAI API PyTorch TensorFlow LangChain LangGraph FastAPI

Infrastructure & DevOps

Docker AWS GCP CI/CD PostgreSQL Git

AI Workflow Design

Agent Orchestration Pipeline Design API Design System Architecture
03

Experience.

2025 — Present Current

Applications Engineer

Rashi Peripherals Pvt Ltd Bangalore, India

  • Architected and deployed multi-agent AI systems using LangGraph and CrewAI, reducing manual workflow processing time by 60%
  • Designed and implemented RAG pipelines with vector databases (Pinecone, Weaviate) serving 10K+ daily queries with sub-200ms latency
  • Built production-grade LLM integration layers with fallback strategies, token optimization, and cost monitoring
  • Led the development of internal AI tooling platform enabling non-technical teams to create custom AI workflows
LangChainLangGraphPythonNvidia JetsonTensorFlowDockerROS2
2024 — 2025

Supply Chain Analyst

Flipkart Pvt Ltd Bangalore, India

  • Developed and fine-tuned domain-specific language models for enterprise document processing, achieving 94% accuracy
  • Implemented end-to-end MLOps pipelines with automated model retraining, A/B testing, and canary deployments
  • Created NLP-powered search engine with semantic understanding, improving search relevance by 45%
  • Collaborated with cross-functional teams to integrate ML models into existing enterprise applications
PyTorchHugging FaceMLflowKubernetesGCP
2022 — 2024

Full Stack Consultant

Kaar Technologies Remote

  • Built data ingestion pipelines processing 1M+ documents daily for training data preparation
  • Developed REST APIs for model serving with comprehensive monitoring and alerting
  • Implemented automated data quality checks and validation pipelines reducing data issues by 70%
PythonSQLDockerPostgreSQLRedis
04

Featured Work.

RAG System

Intelligent Document QA

Enterprise RAG system with hybrid search, context-aware retrieval, and cited responses across 100K+ documents.

LangChainPineconeFastAPINext.js
MLOps

AutoML Pipeline Framework

Automated ML pipeline with data validation, model training, hyperparameter tuning, and deployment orchestration.

PyTorchMLflowDockerKubernetes
Prompt Engineering

Prompt Engineering for AI Agents

Engineered advanced prompt chains for autonomous AI agents, optimizing for task success rates and reducing hallucinations.

OpenAILangChainPostgreSQLSupabase
05

Get In Touch.

Have a project in mind or want to discuss AI solutions? I'm always open to interesting conversations and opportunities.