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B.Tech CSE (AI) • GRIET
Hyderabad, India

Siva Sudhamsh Gandikota

I build AI systems that ship — from model to API to interface.

AI/ML & Full-Stack Developer

Computer Science undergraduate specializing in Artificial Intelligence with hands-on experience building reliable backend, full-stack, ML, and GenAI systems.

92%ML Accuracy
Evaluated on 50K records (Vishwam AI)
360msAPI Latency
Improved from 800ms via indexing & caching
2+SaaS Apps Shipped
Delivered 2 weeks ahead of schedule
Siva Sudhamsh Gandikota

Siva Sudhamsh Gandikota

AI Specialization • GRIET

Professional Profile

About Me

A bit about how I work, what I build, and what I'm looking for.

Bridging Machine Learning Research & Production Engineering

I'm an AI/ML and full-stack developer passionate about building reliable software end-to-end—from training and fine-tuning models to shipping secure, high-throughput microservices. I focus on clean architecture, performance optimization, and bridging the gap between machine learning pipelines and production engineering. Currently seeking Software Engineering and AI/ML internship opportunities for 2026.

Machine Learning & Agentic Workflows: Building multi-agent systems with LangGraph, hybrid RAG pipelines, and real-time computer vision models (YOLO).
High-Throughput Backends: Designing asynchronous microservices with FastAPI and Node.js, focused on query profiling, caching, and sub-second latency.
Reliability & Security Rigor: Implementing zero-downtime database schemas, JWT/RBAC authentication, and reproducible ML pipelines with DVC.

Gokaraju Rangaraju Institute of Engineering and Technology (GRIET)

Sep 2023 - Jun 2027

B.Tech in Computer Science Engineering (Artificial Intelligence Specialization)

CGPA: 7.85
Vishwam AI
0%

Prediction accuracy (50K records)

Freelance APIs
0ms

Response time (from 800ms)

GRIET Hackathon
0+

Participants led (24h event)

Tech Summits
0+

Working prototypes supported

Now / Currently Building
LangGraph • RAG

Multi-Agent LangGraph Orchestrator

Stateful agent graphs with hybrid RAG and memory for personal finance workflows.

Computer Vision

Edge YOLO Fault Detection

Optimizing 20+ vehicle component segmentation models for low-latency web inference.

FastAPI • Redis

High-Throughput Microservice APIs

Async FastAPI services with Redis caching, query profiling, and sub-100ms targets.

Work & Systems

Featured Projects

Selected projects across AI, backend and full-stack.

AI Agents & GenAI

MYFI.AI

AI-Powered Personal Finance Assistant

System Architecture: Multi-Agent Orchestration
LangGraph Stateful Routing
InputTransaction StreamPostgreSQL Ledger
Hybrid RAGSentenceTransformersChromaDB Vector Store
AgentsMonitor → ExplainerOllama / LLM Reasoning
OutputFastAPI AdvisoryZero Hallucination
Problem

Users struggle to track scattered transactions, detect anomalies, and receive contextual financial advisory grounded in exact personal spending records without hallucinations.

What I Built

Built a modular multi-agent application combining transaction processing, ML-based categorization, anomaly detection, and RAG. Developed a hybrid retrieval pipeline using Sentence Transformers, ChromaDB, and PostgreSQL to ground queries in personal finance data. Implemented Monitor, Explainer, and Recommender agents using LangGraph conditional routing and shared state, exposed via FastAPI APIs.

Highlights:Multi-agent LangGraph orchestration • Hybrid RAG retrieval • Real-time anomaly detection
Stack:PythonFastAPILangGraphOllamaChromaDBPostgreSQLSentence TransformersRAG
Computer Vision & Edge AI

AutoTuning.AI

AI Vehicle Diagnostics Platform

Vision Pipeline: Automated Fault Inspection
92% mAP on 20+ Parts
IngestComponent ImageryPreprocessed Frames
InferenceYOLO Segmentation20+ Mechanical Parts
AnalysisFastAPI & Node.js<2 Min Turnaround
DeploymentDocker on AWSDiagnostic Dashboard
Problem

Manual vehicle inspection and fault diagnostics take over 30 minutes, relying on expensive specialized hardware and resulting in delayed maintenance alerts.

What I Built

Built a cloud-native diagnostics platform integrating computer vision, machine learning, REST APIs, Docker, and AWS for automated fault detection. Designed modular backend services with FastAPI and Node.js that reduced diagnostic turnaround from 30+ minutes to under 2 minutes. Integrated YOLO-based component analysis across 20+ vehicle parts, achieving 92% mAP for automated defect inspection.

Highlights:92% mAP across 20+ parts (held-out test set) • 87% fault accuracy • <2min turnaround
Stack:Next.jsNode.jsFastAPIYOLOMongoDBDockerAWS

Additional Deployments & Prototypes

Production systems, web platforms, and student assessment tools.

Real-Time Systems

KL Radio

Real-time broadcasting dashboard with live stream telemetry

Engineered an interactive broadcasting control cockpit with live WebSocket telemetry, real-time listener tracking, and automatic audio stream switching.

Highlights

500+ concurrent listeners • 99.8% uptime • Zero broadcast interruption

ReactNode.jsWebSocketsMongoDBExpress
Full-Stack System

GovConnect

Unified public services portal connecting 20+ government departments

Constructed a unified public administration gateway integrating 20+ government service APIs with cross-department inquiry dispatch and citizen status tracking.

Highlights

20+ public services interconnected • Centralized cross-department workflow

ReactNode.jsMongoDBExpressREST APIs
Client Engineering

YBS Industries Platform

Corporate software landing page with optimized mobile performance

Engineered a responsive web portal with optimized Core Web Vitals, accessible UI components, and modern brand design.

Highlights

85% mobile load latency reduction • Clean responsive design

ReactNext.jsTailwind CSS
Client Engineering

Samardhya Platform

Interactive skill discovery and student aptitude assessment platform

Developed an interactive web application featuring module assessments, clear progress milestones, and responsive form validation.

Highlights

Modular student skill assessment • Interactive UI flows

ReactTailwind CSSJavaScript

Career Timeline

Work Experience

Engineering roles delivering measurable gains across ML accuracy, throughput, and system reliability.

Freelance Full-Stack Developer

SaaS Clients

Mar 2025 - Present
  • Worked directly with clients to translate requirements into scalable features; delivered 2 SaaS applications 2 weeks ahead of schedule.
  • Engineered REST APIs handling 1K+ daily requests, improving response time from 800ms to 360ms through query optimization.
  • Strengthened reliability and security for 200+ user accounts using JWT authentication, role-based access control (RBAC), and authorization checks.

AI Intern

Vishwam AI

Jun 2025 - Oct 2025
  • Collaborated with a 4-member engineering team to standardize reproducible ML training workflows using DVC versioning.
  • Optimized Python preprocessing pipelines, reducing processing time from 45 to 23 minutes through profiling and iterative engineering.
  • Improved prediction accuracy from 84% to 92% on 50K+ records using feature engineering, systematic evaluation, and hyperparameter optimization.

Technical Capabilities

Skills & Tech Stack

Categorized technical toolset across machine learning engineering, backend services, and modern interfaces.

Languages & Core CS

Core programming languages and computer science fundamentals

PythonJavaCSQLDSA & Problem SolvingOOP & System Design

AI/ML & GenAI

Model development, multi-agent frameworks, RAG, and computer vision

Scikit-learnPyTorchXGBoostYOLOLangGraphAI AgentsRAG & EmbeddingsSentence TransformersChromaDBOllamaLLMs

Backend & Databases

High-throughput APIs, authentication, microservices, and persistence

FastAPINode.jsExpressREST APIsMicroservicesPostgreSQLMySQLMongoDBJWT & RBAC

Cloud, DevOps & Tools

Containerization, cloud infrastructure, and engineering workflows

AWSAzureDockerPodmanLinuxGit & GitHubCI/CD & TestingDVCQuery Optimization

Community & Impact

Leadership & Achievements

Leading technical initiatives, organizing university hackathons, and mentoring aspiring developers.

GRIET

Vice-President & PR — Free Software Wing

Led the chapter executive committee, coordinated public relations, and organized technical summits to foster open-source development across the campus.

200+ Participants

24-Hour National Hackathon Director

Directed end-to-end planning, mentor coordination, and judging pipelines resulting in 15+ functional prototype submissions across AI and software tracks.

Funding Secured

₹100,000+ Corporate Sponsorships

Pitched and secured strategic sponsorships from industry partners to fund developer prizes, hardware tracks, and student software initiatives.

6 Hands-on Sessions

Technical Workshops Organizer

Delivered interactive technical workshops on Python, Git/GitHub, open-source contribution, and machine learning fundamentals for 200+ students.

Continuous Learning

Certifications & Proof

Industry-recognized credentials in machine learning, generative AI, and cloud fundamentals.

Cloud & AI

AWS Certified AI Practitioner

Amazon Web Services (AWS)•2025
Cloud Architecture

Microsoft Azure Fundamentals (AZ-900)

Microsoft•2024
Machine Learning

Machine Learning Certificate

DeepLearning.AI & Coursera•2024

Get in Touch

Contact & Collaboration

Whether you have an engineering role, freelance project, or technical question, let's talk.

Direct Channels

Connect directly through verified profiles or reach out via email.

Response time: usually under 24 hours. Open to SWE & AI opportunities.

Send a Message

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