Hello!

I'm Gnyani Enugandula

Software Developer | Data & AI

I'm Gnyani (pronounced gyaa-ni), a software developer focused on agentic AI, data pipelines, and production systems. I have an M.S. in Information Systems from Syracuse University and I'm currently a Software Developer at RELI Group Inc., where I ship agentic AI code-modernization agents, build distributed pipelines in Databricks (Python, PySpark, SQL), develop RAG-powered search and Q&A with FAISS and LLMs, and embed anomaly detection with SHAP/LIME for interpretable risk scoring. I also drive observability with Prometheus, Grafana, and CloudWatch. I've worked across backend development, RAG and contract intelligence, and cloud-native DevOps—and I enjoy picking up new tech to ship reliable, high-impact solutions.

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Projects

December 2025

Predictive System Monitoring with AI

AI-driven monitoring platform to predict infrastructure failures by analyzing logs, metrics, and user behavior.

May 2025

Collaborative Task Management Platform

MERN-based web app for managing projects, tasks, and team collaboration with role-based authentication and real-time updates.

2025

GovWin Opportunity Tracker & Scoring Engine

End-to-end ETL pipeline plus TF-IDF–based relevance scorer for federal contract bids.

2025

Real-time Misinformation & Sentiment Monitor

Transformer-powered NLP pipeline with interactive Streamlit interface.

2025

Electoral Data Anomaly Detection System

XGBoost-based model and D3.js visuals to flag suspicious audit records.

2025

Instagram Reach Analysis

EDA + hybrid ML model predicting post impressions with SHAP explainability.

2024

AI-Powered Legal Document Analyzer

Clause classification & risk scoring with spaCy + BERT.

2022

E-commerce Recommendation Engine

SVD-based collaborative filtering with live demo store.

Experience

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Software Developer

October 2024 – Present · Syracuse, New York

  • Designed and shipped agentic AI code modernization agents using Claude, tool calling, and orchestration workflows to analyze legacy codebases and automate multi-step refactors from ingestion to validated output.

  • Built and optimized distributed data pipelines in Databricks using Python, PySpark, and SQL to process 50M+ healthcare claims records, enabling scalable analytics for revenue leakage and compliance risk detection.

  • Embedded anomaly detection (Isolation Forest, LOF) into production pipelines and exposed interpretable risk scoring via SHAP and LIME for downstream APIs and internal tooling.

  • Developed RAG-powered search and Q&A services using FAISS vector indexing, structured data models, and LLM reasoning to deliver accurate, explainable responses over documents and analytics at scale.

  • Leveraged LLM-assisted developer tooling (Cursor Composer) to accelerate SQL development, data exploration, code refactoring, and feature delivery while maintaining code quality.

  • Driving system reliability and observability initiatives via Prometheus, Grafana, and CloudWatch, cutting incident response times by 40% and boosting service uptime to 99.99%.

Skills

Languages

  • Python
  • C#
  • JavaScript
  • TypeScript
  • Go
  • SQL

Backend

  • FastAPI
  • Flask
  • Node.js
  • REST APIs
  • Microservices Architecture
  • API Design
  • WebSockets
  • Celery
  • Redis
  • Kafka

Web and Frameworks

  • React
  • Next.js
  • Express.js
  • HTML5
  • CSS3
  • JavaScript
  • Frontend–Backend Integration

Cloud and Platform

  • AWS (EC2, S3, Lambda, DynamoDB)
  • Azure (Functions, Monitor)
  • Kubernetes
  • API Gateway
  • CloudWatch

Databases

  • PostgreSQL
  • SQL Server
  • MongoDB
  • DynamoDB
  • Databricks
  • Snowflake
  • ETL Pipelines
  • Data Modeling
  • Query Optimization

DevOps & Delivery

  • Docker
  • Git
  • CI/CD
  • Grafana
  • Prometheus
  • System Design
  • Jira
  • Agile / Scrum
  • Jenkins

AI / ML & LLM Systems

  • RAG
  • LLMs
  • LangChain
  • Prompt Engineering
  • Hugging Face
  • PyTorch
  • scikit-learn
  • Embeddings
  • Similarity Search
  • Vector DB
  • Text Classification
  • Model Evaluation
  • A/B Testing
  • Rule Based Validation