0% — SANJAI.SIDDHARTHAN
Available for Opportunities

Sanjai
Siddharthan

>

3+ years building distributed systems, scalable microservices, and AI-powered platforms. Currently at N-able, pursuing M.Tech at BITS Pilani.

GitHubContact

// about me

Who I Am

I'm a Software Developer passionate about building systems that scale. My work spans backend engineering, AI development, and distributed systems design — solving real-world problems with clean, efficient code.

Currently working at N-able on AI observability platforms, while pursuing my M.Tech at BITS Pilani. I care about clean architecture, measurable performance gains, and systems that hold up under real-world load.

LocationIndia
CurrentlySoftware Developer @ N-able
FocusBackend · AI Systems · Distributed Systems
InterestsSystem Design · LLMs · Open Source
3+
Years Experience
5+
Awards & Recognition
5+
Projects
2
Publications

// education

Academic Background

8.53
Current CGPA

M.Tech in Software Engineering

Work Integrated Learning ProgrammeIn Progress
BITS Pilani·2025 – 2027

Birla Institute of Technology and Science, Pilani

Pursued through BITS Pilani's Work Integrated Learning Programme (WILP) alongside full-time work at N-able — focused on distributed systems, software architecture, and scalable system design.

9.23
CGPA

B.Tech in Computer Science and Engineering

Amrita·2019 – 2023

Amrita School of Engineering, Chennai

Strong foundation in CS fundamentals — data structures, algorithms, networks, and machine learning. Merit-based scholarship recipient across all semesters.

Certification
MongoDB Java Developer Path

// work experience

Career Timeline

Software Developer

N-able
Aug 2025 – Present
  • ▸Built an AI observability platform integrating Splunk and Prometheus for cross-signal reliability intelligence, predictive failure detection, and FinOps cost attribution.
  • ▸Developed a RAG-based chatbot for context-aware question answering using vector search and LLMs.
  • ▸Built and optimized a high-throughput events collector for large-scale system and security event processing.
  • ▸Added OpenTelemetry distributed tracing for end-to-end visibility across the event processing pipeline.
JavaPythonLLMsRAGOpenTelemetrySplunkPrometheus

Software Developer

AppViewX
Aug 2023 – Jul 2025
  • ▸Improved API throughput by 40% through a custom token bucket rate-limiting algorithm.
  • ▸Refactored async queue logic to enhance system stability and reduce message lag.
  • ▸Implemented service account-based service-level communication replacing system user accounts.
  • ▸Troubleshot production and non-production issues and mentored new team members.
  • ▸Led Agile ceremonies as Scrum Master, ensuring high team efficiency and collaboration.
JavaSpringMicroservicesREST APIsScrum MasterMongoDB

Software Developer Intern

AppViewX
Jan 2023 – Jul 2023
  • ▸Increased operational efficiency by 25% for developers by building automation tools to streamline time-consuming manual processes.
PythonAutomationJava

Network Intern

Cisco Networking Academy
Aug 2022 – Dec 2022
  • ▸Designed and simulated campus networks using star, mesh, and hybrid topologies with Cisco Packet Tracer.
  • ▸Strengthened practical knowledge of network protocols and device configurations.
Cisco Packet TracerNetworkingNetwork Protocols

// projects

Things I've Built

AI-Dev-Kit

End-to-end AI developer pipeline using LangGraph, MCP (GitHub, Jira, Confluence), and A2A protocol to autonomously orchestrate multi-agent workflows — from Jira ticket through spec drafting, code generation, and reviewed GitHub PR creation.

LangGraphMCPA2A ProtocolMulti-agentGitHub APIJira

RefugeeConnect AI

Multimodal AI platform using Google Gemini 3 that empowers displaced people through credential reconstruction, real-time bureaucratic advocacy, and intelligent form navigation.

Google GeminiMultimodal AIPythonRAGLLMs

Pothole & Speed-Bump Detection

Deep learning system for real-time road hazard detection using Python and YOLO models, achieving 94% accuracy. Published research in Springer Nature.

PythonYOLODeep LearningComputer VisionOpenCV

Adaptive Prompt Engineering

Intelligent chatbot integrating sentiment analysis with GPT technology, resulting in 20% improvement in user engagement through dynamic prompt adaptation based on emotional context.

GPTSentiment AnalysisPrompt EngineeringPythonNLP

DevPilot — Developer Assistant

Developer-friendly tool to test production-like changes and simplify debugging workflows, reducing developer overhead and enabling faster iteration cycles.

Developer ToolsPythonJavaAutomationDebugging

// tech stack

Skills & Technologies

Languages
JavaPython
Frameworks
Spring BootFlaskDjango
AI & ML
RAGLLMsVector SearchPrompt EngineeringLangGraphOpenTelemetry
Architecture
System DesignMicroservicesREST APIsDistributed SystemsEvent-Driven
Tools & Infra
KubernetesMongoDBMavenGitSplunkPrometheus
Certified: MongoDB Java Developer Path

// recognition

Awards & Achievements

Most Valuable Player of the Quarter

N-able

Awarded for outstanding contributions to the AI Observability Platform, delivering high-impact features.

Rising Star of the Quarter

N-able

Recognized for ownership and key contributions to the event-collector and OpenTelemetry instrumentation.

SPOT Award × 2

AppViewX

Special Performance and Outstanding Talent award for optimizing the API Token Bucket Algorithm, queue management, and exceptional Scrum Master responsibilities.

1st Place — Auth0 CTF

Capture the Flag

Secured first place in the Auth0 Capture the Flag competition, demonstrating exceptional expertise in cybersecurity.

Merit-Based Scholarship

Amrita University

Received the merit scholarship for maintaining consistent academic excellence throughout all semesters. CGPA: 9.23.

// research

Publications

Springer Nature

Real-Time Road Hazard Classification Using Object Detection with Deep Learning

A novel method for detecting road hazards using deep learning-based object detection models. The system achieves 94% accuracy in real-time classification of potholes and speed bumps using YOLO architectures.

Deep LearningYOLOComputer VisionRoad SafetyPython
Read Paper
IEEE DELCON 2025

Crop Recommendation and Yield Prediction Using Ensemble Machine Learning Technique

An intelligent agriculture framework for crop recommendation and yield prediction using ensemble machine learning techniques such as bagging, boosting, stacking, and voting models for improved agricultural decision-making.

Machine LearningEnsemble MethodsAgriculturePredictionPython
Read Paper

// get in touch

Let's Connect

Open to new opportunities, collaborations, and interesting conversations. Feel free to reach out.

Ready to build something great?

Whether it's a full-time role, freelance project, or just a conversation about tech — I'm all ears.

Send me an email