>_

SIDDHARTH NAIR

// AI ENGINEER

SCROLL TO EXPLORE

MODULE: HARMAN
SYSTEM STATUS: OPERATIONAL // DATA STREAM ACTIVE

AI-Driven Cost EstimationAutonomous Data Extraction and Predictive Modelling Pipeline
PRODUCTION ALPHA
Generative AI pipeline deployed on Google Cloud Platform to automate cost estimation for manufacturing operations. Processes technical drawings with high-fidelity feature extraction.
LIVE EXECUTION LOG
78% Accuracy / 300+ Drawings
Gemini 2.5 ProGoogle Cloud PlatformImage ProcessingEnsemble LearningDockerKubernetes

Advanced Memory SystemAgentic AI Platform Architecture
PATENT PENDING
State-of-the-art hierarchical memory system using Vector Embeddings and Graph Databases to bind diverse LLM backends (GPT-4o, Claude, Llama 3.2).
QdrantDBNeo4jAgentic AILarge Language Models

Legacy Code MigrationPL/1 to Java Agentic Solution
DEPLOYED
Automated refactoring agent achieving high syntactic accuracy across massive legacy codebases.
85% Accuracy / 50k+ Lines
Agentic AIOpenAI APIGPT-4oCompiler DesignAbstract Syntax Tree

Automated Test GenerationTelecom Specification Document Processing
DEPLOYED
Computer Vision-based LLM Agent that reads 3GPP docs to generate test cases automatically.
-65% Manual Effort
YOLOObject Character RecognitionImage ProcessingLarge Language ModelsMongoDB

FinOps CopilotText-to-AthenaQL Generator
ARCHIVED
Fine-tuned Small Language Model (SLM) for querying CloudHealth cost reports using natural language.
PEFTQLORAPredictive ModellingTime Series Forecasting

SOC-Ops AssistantCybersecurity Threat Detection and Automated Ticket Management
ARCHIVED
RAG-based security assistant utilizing Text-to-SQL and an anomaly detection model for detecting threats from network data.
Retrieval Augmented GenerationAnomaly DetectionETL PipelinesMicrosoft AzureHuggingFace

> EXECUTE: HISTORY_LOG -V

[2023.06 - 2023.07]:: GAS TURBINE RESEARCH ESTABLISHMENT (DRDO)
> ROLE: RESEARCH INTERN
> PROJECT: Virtual Strain Sensors for Aero Engines
> SYSTEM: Developed predictive models using ensemble techniques (LSTM + Extra Trees) to forecast strain sensor failure.
> METRIC: R-SQUARED SCORE: 0.90
> STACK: [LSTM] [Time Series Forecasting] [Neural Networks] [Python] [Ensemble Learning] 

[2022.06 - 2022.07]:: ARAW ANALYTICS
> ROLE: SOFTWARE INTERN
> PROJECT: US Real Estate Reporting Dashboard
> SYSTEM: Containerized analytics platform for interactive time-series analysis of real estate data.
> METRIC: MICROSERVICES ARCHITECTURE
> STACK: [FastAPI] [SQL] [Docker] [Predictive Analytics] 

[END OF LOGS]

ACADEMIC TERMINAL

root@siddharth:~/education# tree -L 2
.
├── PES UNIVERSITY
│   ├── B.Tech. Computer Science Engineering
│   ├── 2020 - 2024
│   └── Bengaluru, India
└── CORE_MODULES
    ├── Web_Development_&_Cloud_Computing
    ├── Operating_Systems_&_Computer_Networks
    ├── DBMS_+_Database_Tuning
    ├── Linear_Algebra_(Comp._Vision_Focus)
    ├── Machine_Intelligence_&_RL
    ├── Big_Data_Analytics
    └── Object_Oriented_Analysis_&_Design

root@siddharth:~/projects# ./list-packages
[PACKAGE NAME] .................. [VERSION] [STATUS]
social-media-clone.......v1.0.2[INSTALLED]
music-genre-classifier...v0.8.5[INSTALLED]
football-score-rec.......v1.1.0[INSTALLED]
weather-data-pipeline....v0.9.0[INSTALLED]
lms-java-system..........v2.0.0[INSTALLED]
5 packages installed

> ACTIVE DEVELOPMENT STREAM
[WIP/EXPERIMENTAL] :: BACKGROUND PROCESSES

[BUILDING]
PitchPulseSAAS PLATFORM
Cricket tournament management featuring real-time scoring and automated scheduling.
> COMPILED LIBRARIES:
Real-time Scoring
Banking Integration
Team Reg
 STACK:
[Python FastAPI][PostgreSQL][WebSockets]

[BUILDING]
RecForgeCORE ENGINE
Production-grade recommendation engine built from scratch to master core DSA patterns.
> COMPILED LIBRARIES:
Content-based Algo
Performance Benchmarking
 STACK:
[Collaborative Filtering][A/B Testing Framework][DSA]

[LIVE MONITORING] :: 2 ACTIVE PROCESSES

> SYSTEM CONFIG MONITOR
[ACTIVE MODULES] :: RUNTIME STATUS

[MODULE_01]
[ AVAILABLE RUNTIMES ]
>>Python (Proficient)
>>SQL (Proficient)
>>JavaScript (Intermediate)
>>Go (Beginner)
[4 DRIVERS LOADED]

[MODULE_02]
[ NEURAL ENGINES ]
>>TensorFlow
>>PyTorch
>>SciKit Learn
>>Large Language Models
[4 DRIVERS LOADED]

[MODULE_03]
[ SERVER PROTOCOLS ]
>>FastAPI
>>Docker
>>RESTful API Design
>>Microservice Architecture
[4 DRIVERS LOADED]

[MODULE_04]
[ STORAGE DRIVERS ]
>>QdrantDB (Vector)
>>PostgreSQL
>>Neo4j (Graph)
>>MongoDB
[4 DRIVERS LOADED]

[SYSTEM CHECK] :: 16 TOTAL DRIVERS :: ALL MODULES OPERATIONAL