Available for opportunities

Senior AI Engineer · Bengaluru, India · Open to Work

RANJITH

KUMAR K.N

Autonomous AI Systems · Multi-Agent Architectures · Enterprise LLMOps

Years Experience

Ops Reduction

Companies

View My Work Download Resume

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01 · ABOUT

Who I Am.

I'm Ranjith Kumar K.N — a Senior AI Engineer specializing in autonomous multi-agent systems, frontier model orchestration, and enterprise MLOps pipelines that operate at production scale.

Currently at Analytical Intelligence International, I architect cognitive AI systems using Gemini, GPT-4, and Claude — orchestrated through AutoGen and Google's Agent Development Kit. I've driven a 40% reduction in manual processing time and built self-evolving RAG pipelines that achieve 35% better retrieval precision with near-zero hallucinations.

Before that, I've shipped petabyte-scale data lakes at Shodh AI, built real-time autonomous vehicle sensor fusion at Pravaig Dynamics (India's first performance EV startup), and delivered Hadoop/Spark optimizations at Tata Consultancy Services.

Multi-Agent Architecture Expert

Enterprise MLOps Specialist

AIP Journal Published · Dog Emotion CNN

ranjith.config.ts

Education

MSc Big Data Analytics

St. Joseph's University · 2020–2022

BCA Computer Applications

Seshadripuram College · 2016–2019

Bengaluru, India

02 · EXPERIENCE

Where I've Built.

Current Role

Senior AI Engineer

Analytical Intelligence International, LLC

Jan 2025 – Present

40% reduction in manual processing time (multi-agent orchestration)

35% boost in retrieval precision (self-evolving RAG with Langfuse)

60% faster deployment cycles (zero-downtime MLOps pipelines)

99.9% system reliability at enterprise scale

GeminiGPT-4ClaudeAutoGenGADKMCPKubernetesTerraform

Impact ScoreHigh

ML Data Engineer

Shodh AI Pvt Ltd

Jul 2024 – Jan 2025

45% reduction in processing latency (petabyte-scale multimodal data lake)

70% faster deployment (MLOps with Kubeflow + Airflow)

40% increase in production reliability (drift detection + auto-retraining)

3x speedup in LLM fine-tuning throughput (Ray + PyTorch FSDP + LoRA)

Apache SparkDelta LakeLoRADeepSpeed ZeRO-3RayW&B

Impact ScoreHigh

Data Engineer

Pravaig Dynamics Pvt Ltd

Feb 2023 – Jul 2024

40% improvement in battery analytics accuracy (BMS/SOH estimation)

99.5% accuracy in autonomous vehicle object detection

Sub-100ms end-to-end latency across 500+ concurrent sensor streams

PyTorchKafkaMQTTROS2LiDARCAN-BUSKalman Filters

Impact ScoreHigh

Data Engineer

Vumonic Data Labs Pvt Ltd

Oct 2022 – Jan 2023

500GB daily telemetry processing at 99.9% uptime

35% processing efficiency improvement (dynamic Airflow DAGs)

20+ hours of weekly manual work eliminated

Azure DatabricksSnowflakePySparkAirflowS3

Impact ScoreMedium

Big Data Engineer

Tata Consultancy Services

Apr 2022 – Oct 2022

30% increase in Hadoop/Spark processing efficiency

45% reduction in ingestion errors (AWS Deequ + Great Expectations)

HadoopSpark AQEAWS DeequHDFS/YARN

Impact ScoreMedium

03 · SKILLS

What I Work With.

LLMs & Generative AI

Expert

GPT-4 / ChatGPT95%

Claude93%

Gemini92%

LLAMA / Mistral / Deepseek90%

RAG & Fine-tuning94%

PEFT / LoRA90%

Prompt Engineering95%

MCP / A2A88%

AI Frameworks & Orchestration

Expert

LangChain / LlamaIndex93%

AutoGen / CrewAI92%

HuggingFace / Transformers90%

Semantic Kernel85%

Vector DBs (Pinecone/Weaviate)88%

Stable Diffusion82%

ML/DL & Classical Modeling

Advanced

Python95%

PyTorch / Lightning88%

TensorFlow85%

Scikit-learn / XGBoost90%

OpenCV / NumPy / Pandas88%

TensorRT / Quantization80%

C++ / Java75%

Cloud & MLOps

Advanced

AWS (SageMaker, EC2, S3, EKS)85%

Azure (DevOps, AI Foundry, AKS)87%

Docker / Kubernetes90%

MLflow / Jenkins / CircleCI85%

Airflow / CI/CD88%

Terraform / Crossplane82%

Big Data & Data Engineering

Advanced

Apache Spark / Delta Lake90%

Kafka / MQTT88%

Hadoop / Hive82%

PostgreSQL / MongoDB87%

Redis / Elasticsearch85%

FastAPI / ETL Pipelines88%

Data & APIs

Proficient

SQL / NoSQL88%

ClickHouse / Aurora RDS82%

REST / GraphQL APIs85%

Real-time Processing80%

API Security / AWS WAF78%

LangChainAutoGenMCPGADKPineconeWeaviateLoRADeepSpeedRayW&BLangfuseKubeflowDelta LakePyTorch FSDPLangChainAutoGenMCPGADKPineconeWeaviateLoRADeepSpeedRayW&BLangfuseKubeflowDelta LakePyTorch FSDP

KubernetesTerraformSparkKafkaROS2Delta LakeDockerAzure DevOpsAWS SageMakerMLflowAirflowCI/CDGreat ExpectationsSnowflakeKubernetesTerraformSparkKafkaROS2Delta LakeDockerAzure DevOpsAWS SageMakerMLflowAirflowCI/CDGreat ExpectationsSnowflake

04 · PROJECTS

What I've Shipped.

Published Research

Dog Emotion Recognition Using Deep Learning

AIP PUBLISHED · 2022

Developed a specialized emotion classification system using three distinct CNN architectures and a proposed MBCC-CNN model. Achieved superior accuracy in emotional recognition tasks — published in the American Institute of Physics journal.

CNN Architectures

MBCC-CNN

Architecture

AIP Published

Status

CNNDeep LearningComputer VisionMBCC-CNN

View GitHub →Read Paper →

LLM · RETRIEVAL-AUGMENTED GENERATION

Math Solver with RAG

Modular mathematical problem solver implementing RAG with Pythia LLM. Context-aware retrieval for complex problem-solving.

RAGPythia LLMRetrievalMath Reasoning

View Project →

LLM · RAG · VECTOR DATABASES

LLM Connector Context

Universal search and agent integration engine that connects external data sources like Slack, Notion, and GitHub to vector databases and LLM contexts.

LLMRAGQdrantVespaVector DB

View Repository →

MULTI-AGENT · WEB EXTENSION

AI-Powered Web Automation

Multi-agent AI-powered Chrome, Firefox, and Edge extension that collaborates to plan, navigate, and validate complex browser tasks.

LLMWeb ExtensionReasoningBrowser Use

View Repository →

LLM · SQL ENGINE · AGENTIC DATA

Structured Query Engine

High-performance semantic engine and agentic data layer that translates LLM and natural-language queries into optimized SQL using Rust, Python, and MCP.

LLMSQL EngineReasoningExecutionMCP

View Repository →

05 · CONTACT

Let's Connect.

Get in Touch

ranjith.kumar.kn26@gmail.com

Location

Bengaluru, India

linkedin.com/in/ranjith-kumar-kn

GitHub

github.com/rangow4562

Available for opportunities

Usually responds within 24 hours

Currently accepting senior AI engineer and AI architect roles. Experienced with FAANG-style technical interviews and enterprise clients. References and code samples available on request.

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ranjith.kumar.kn26@gmail.com

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Download Resume

PDF · Updated 2026

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Why Ranjith

Years in AI/ML

Companies Shipped

99.9%

System Reliability

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RANJITH

KUMAR K.N

Who I Am.

Education

Where I've Built.

Senior AI Engineer

ML Data Engineer

Data Engineer

Data Engineer

Big Data Engineer

What I Work With.

LLMs & Generative AI

AI Frameworks & Orchestration

ML/DL & Classical Modeling

Cloud & MLOps

Big Data & Data Engineering

Data & APIs

What I've Shipped.

Dog Emotion Recognition Using Deep Learning

Math Solver with RAG

LLM Connector Context

AI-Powered Web Automation

Structured Query Engine

Let's Connect.

Get in Touch

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Hello I am Ranjith