SCENE 01 // INTRO_SEQ

Dhanush Ginkala

Deep Learning · Computer Vision · Full-Stack Systems

Open to Full-Time Roles & Global Opportunities

Building neural architectures, spatiotemporal forecasting systems, and high-performance visual interfaces.

Explore ProjectsGitHubLinkedInResume
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SCENE 02 // CHARACTER_PROFILE
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Profile Loadout

SYSTEMS_SPEC
Focus AreaDeep Learning & Software Systems
Domain PillarComputer Vision & Spatiotemporal Forecasting
Core ArsenalPython · PyTorch · TypeScript · React · C++
Alma MaterICFAI Foundation for Higher Education (IFHE)
Degree ConferredB.Tech in Computer Science & Engineering
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Mission Brief

BIO_LOG

B.Tech CSE graduate from ICFAI Foundation for Higher Education (IFHE) with a deep technical focus on neural spatiotemporal modeling, computer vision, and reactive full-stack web architectures.

Specialized in developing Sea Surface Temperature forecasting pipelines at INCOIS utilizing ConvLSTM and Chronos foundation models, and crafting mathematical animation engines at Skillbanc.

// Active Objectives

  • ▶Architect production spatiotemporal tensor models.
  • ▶Develop cinematic, ultra-responsive web interfaces.
  • ▶Lead open-source contributions in ML & mathematical simulation.
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Credentials Arc

10 VERIFIED

Click any credential below to verify document details:

SCENE 03 // EXPERIENCE_ARC
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Research Arc

Deep Learning Research Intern

@INCOIS (Indian National Centre for Ocean Information Services)

  • Architected ConvLSTM, Chronos, and Granite foundation models for Sea Surface Temperature (SST) forecasting over the Arabian Sea.
  • Designed and deployed a 4-stage spatiotemporal ingestion and post-processing pipeline utilizing high-resolution NetCDF4 oceanographic datasets.
  • Achieved significant reduction in spatiotemporal prediction error across multi-day ocean forecasting horizons.
PyTorchConvLSTMChronosGraniteNetCDF4Ocean Data
// View Upstream Artifact
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Contributor Arc

Educational Content Contributor

@Skillbanc

  • Engineered Manim-based programmatic mathematical animation templates for Grades 1–8 covering geometry, coordinate systems, and symmetry.
  • Contributed 10+ merged pull requests to upstream open-source repositories with clean, reusable vector animation components.
PythonManimLinear AlgebraOpen Source
// View Upstream Artifact
SCENE 04 // FEATURED_PROJECTS
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Ocean Spatiotemporal ArcFEATURED

SatelliteGAN & SST Forecaster

Deep learning spatiotemporal sea surface temperature forecasting system over the Arabian Sea leveraging ConvLSTM, Chronos, and Granite foundation models with NetCDF4 pipeline.

// ARCHITECTURE:End-to-end spatiotemporal tensor pipeline processing multi-dimensional oceanographic datasets for predictive temperature maps.
NetCDF4 IngestionChronos + GraniteHigh Resolution
ARABIAN_SEA // SST_TENSOR_FORECASTER
29.4°
29.1°
28.6°
28.1°
27.7°
27.6°
27.8°
30.1°
29.8°
29.4°
28.8°
28.4°
28.3°
28.5°
30.1°
29.9°
29.4°
28.9°
28.5°
28.3°
28.5°
29.5°
29.2°
28.8°
28.2°
27.8°
27.7°
27.9°
28.5°
28.3°
27.8°
27.3°
26.9°
26.8°
26.9°
COOL (27.0°C)
WARM (30.5°C)
HORIZON: T+1 DAYS
D1D7
RMSE: 0.28°C
PyTorchConvLSTMChronosGraniteNetCDF4Python
Repository
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Financial Risk Modeling ArcFEATURED

Macro-Climate Risk Stress Simulator

Macro-financial simulation platform to stress-test banking portfolios against global climate scenarios using predictive risk modeling and statistical distributions.

// ARCHITECTURE:Monte Carlo scenario generation engine with quantitative financial stress testing pipelines.
Scenario EnginePortfolio Stress-TestRisk Distributions
PythonPandasNumPyScikit-learnStatistical Modeling
Repository
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Consumer Ingestion Arc

Dynamic Policy Trend Engine

High-throughput data pipeline engine that ingests, cleans, and tracks temporal trends in consumer complaint streams against dynamic regulatory policy inputs.

// ARCHITECTURE:Batch NLP processing pipeline mapping unstructured customer complaints to regulatory compliance categories.
Streaming IngestionNLP Sentiment TrackingPolicy Analysis
PythonPandasNLTKPipelinesNLP
Repository
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Time-Series Intelligence Arc

Automated Financial Anomaly Forecaster

Automated detection of time-series transaction anomalies and predictive volume forecasting using statistical modeling and outlier detection algorithms.

// ARCHITECTURE:Rolling-window time-series feature engineering with automated thresholding and anomaly isolation.
Anomaly IsolationVolume ForecastingReal-Time Triggers
PythonScikit-learnNumPyTime-SeriesStatistical Modeling
Repository
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Safety Notification Arc

Distributed Emergency Alert System

High-reliability dispatch system with multi-channel SMS and email notifications triggered by critical event listeners.

// ARCHITECTURE:Webhook-driven alert dispatcher with automated retry queue and cross-carrier delivery verification.
Sub-second DispatchMulti-Channel FallbackREST API
PythonTwilio APISMTPLIBFastAPIRender
Repository
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Distributed Web ArcFEATURED

Full-Stack Real-Time Chat Engine

Production-ready instant messaging platform utilizing WebSockets, reactive frontend state, and persistent NoSQL storage.

// ARCHITECTURE:Bi-directional WebSocket messaging architecture with room multiplexing and JWT authentication.
WebSocket ProtocolEnd-to-End StateResponsive UI
ReactNode.jsExpressSocket.IOMongoDBTailwind CSS
Repository
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Mathematical Visualization Arc

Manim Educational Animation Suite

Reusable programmatic mathematical visualization components and vector animation templates for interactive STEM curriculum.

// ARCHITECTURE:Modular Python scene classes generating renderable 60fps mathematical vector animations.
Vector GraphicsParametric Curves10+ Merged PRs
MANIM // VECTOR_PARAMETRIC_ENGINE
f(x) = A·sin(kx - ωt)
60 FPS VECTOR
PythonManimVector MathLaTeXGeometry Engine
Repository
SCENE 05 // SYSTEM_LOADOUT
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Languages

01
  • ■Python
  • ■JavaScript / TypeScript
  • ■C++
  • ■SQL
  • ■LaTeX
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ML & Deep Learning

02
  • ■PyTorch
  • ■ConvLSTM
  • ■Chronos
  • ■Granite
  • ■Scikit-learn
  • ■OpenCV
  • ■NetCDF4
  • ■Pandas
  • ■NumPy
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Frontend & UI

03
  • ■React 19
  • ■Next.js 16
  • ■Tailwind CSS v4
  • ■Framer Motion
  • ■HTML5 / CSS3
  • ■TypeScript
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Backend & Systems

04
  • ■Node.js
  • ■Express
  • ■Socket.IO
  • ■FastAPI
  • ■MongoDB
  • ■REST APIs
  • ■WebSockets
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DevOps & Cloud

05
  • ■Git & GitHub
  • ■AWS Cloud
  • ■Docker
  • ■Vercel
  • ■Render
  • ■Linux
SCENE 05.5 // SYSTEM_UPGRADES
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In ProgressSLOT_01

Autonomous Agentic Systems

Designing multi-agent coordinate networks, dynamic tool invocation loops, context compaction, and verifiable feedback systems.

// KNOWLEDGE_TRANSFER88%
[■■■■■■■■■□] 88%
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In ProgressSLOT_02

AI Systems Orchestration

Building production LLM pipelines, prompt evaluation benchmarks, vector retrieval stores, and latency-optimized inference architectures.

// KNOWLEDGE_TRANSFER82%
[■■■■■■■■□□] 82%
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In ProgressSLOT_03

Context Design & Cognitive Prompting

Structuring lossless state checkpointing, structured JSON streaming, few-shot demonstration networks, and deterministic guardrails.

// KNOWLEDGE_TRANSFER92%
[■■■■■■■■■□] 92%
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In ProgressSLOT_04

High-Density Data Engineering

Developing scalable feature pipelines, streaming aggregations, Parquet/NetCDF4 analytical pipelines, and clean ETL pipelines.

// KNOWLEDGE_TRANSFER78%
[■■■■■■■■□□] 78%
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In ProgressSLOT_05

Advanced Neural Architectures

Deep dive into state space models (Mamba), spatiotemporal transformers, vision diffusion models, and CUDA kernel optimization.

// KNOWLEDGE_TRANSFER85%
[■■■■■■■■■□] 85%
SCENE 06 // FINAL_SCENE
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Open to Full-Time Roles & Global Opportunities

Let's Build Systems Together

Whether you have an ambitious machine learning initiative, a spatiotemporal research problem, or a high-performance full-stack project, my inbox is always open.

dhanushhyd25@gmail.com
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BASED IN HYDERABAD, INDIA (IST (UTC+5:30)) · OPEN TO RELOCATION & REMOTE
DESIGNED & ENGINEERED BY DHANUSH GINKALA © 2026 // ALL RIGHTS RESERVED