Available for opportunities
Ranjith Kumar K.N

Senior AI Engineer · Bengaluru, India · Open to Work

RANJITH

KUMAR K.N

Autonomous AI Systems · Multi-Agent Architectures · Enterprise LLMOps

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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.

Education

MSc Big Data Analytics

St. Joseph's University · 2020–2022

BCA Computer Applications

Seshadripuram College · 2016–2019

Bengaluru, India

Multi-Agent Architecture Expert
Enterprise MLOps Specialist
AIP Journal Published · Dog Emotion CNN
ranjith.config.ts
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02 · EXPERIENCE

Where I've Built.

AI
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
SA

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
PD

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
VD

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
TC

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.

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CNN Architectures

MBCC-CNN

Architecture

AIP Published

Status

CNNDeep LearningComputer VisionMBCC-CNN
Read Publication →
COMPUTER VISION · GENERATIVE AI

Product Photography with Generative AI

Automated background generation pipeline using FastSAM + Stable Diffusion. Precise image segmentation for scalable e-commerce product photography.

FastSAMStable DiffusionImage Segmentation
View Project →
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 →

05 · CONTACT

Let's Connect.

Get in Touch

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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