About

Builder Profile

AI engineer building LLM workflows, ML services, backend APIs, and dashboards that make intelligent systems usable in the real world.

Strong in Python, systems thinking, applied research, and fast product execution. Currently focused on AI governance, cost analytics, and agentic automation.

Education

B.Tech in Artificial Intelligence and Data Sciences

KL University Hyderabad

Aug. 2022 – May 2026 • GPA: 9.38

Board of Intermediate Education

Sri Chaitanya Junior College

Aug. 2020 – May 2022 • 91.9%

Board of Secondary Education

Sri Chaitanya School SP Nagar

Aug. 2019 – June 2020 • GPA: 10.0

Skills

Languages

Core programming languages for development and data manipulation

PythonSQLJavaC

AI/ML Tools

Specialized tools and models for AI/ML development and deployment

Hugging FaceGPT-2WeaviatePineconeGranger CausalityOpenAI Whisper

Frameworks

Development frameworks for building scalable applications

LangChainTransformersDjangoTensorFlowFlaskReact

Cloud & DevOps

Cloud services, containerization, and API development

Azure OpenAIDockerREST APIsAWS Bedrock

IDEs & Tools

Development environments and version control

VS CodePyCharmIntelliJEclipseGit

Experience

Current Mission

AI Engineering Intern

Techolution

Enterprise AI governance, cost intelligence, and risk classification

March 2026 – Present
  • Built backend workflows for AI governance: alert ingestion, AI classification, PDF evidence generation, and API handoffs
  • Shipped LLM and cloud cost analytics by combining model usage with billing exports for total cost visibility
  • Mapped live cloud alerts into governance risk categories including unused resources, stalled queues, external access, destructive queries, and high memory usage
  • Strengthened access-controlled policy flows across RBAC checks, lifecycle states, and audit history
  • Reworked dashboard information architecture around KPI cards, cost insights, risk areas, and action-first summaries
Mission 02

Data Science Intern

PiResearch Labs

Operational data systems, backend APIs, and workflow automation

June 2025 – Mar. 2026
  • Designed and implemented the database schema that supported company-wide operations with a focus on scalability and reliability
  • Built and optimized REST API endpoints to support core application workflows and improve system performance
  • Automated reconciliation and merchant background-check workflows to reduce manual effort and improve operational efficiency
Mission 03

Contractor - Agentic AI

Hexagon R&D India

Agentic root-cause analysis for enterprise database operations

Jan. 2025 – Feb. 2025
  • Conceptualized and developed an Agentic AI prototype with autonomous root cause analysis for databases, improving HxGN NetWorks issue resolution speed by 25% and cutting average resolution time by 40%
  • Designed AI agents using Azure OpenAI models with MagenticOne to autonomously analyze database and service logs, reducing resolution time by 40%; benchmarked against state-of-the-art Agentic frameworks like AutoGen and CrewAI
  • Conducted extensive experimentation with REST APIs and Ollama models, improving system scalability by 20% and reducing cloud computing costs compared to generic GPT-based solutions
Mission 04

AI Intern

Arthink.ai

Predictive ML, anomaly detection, and LLM-assisted monitoring

June 2024 – July 2024
  • Developed and deployed regression models on NASA CMAPSS dataset for predicting engine Remaining Useful Life (RUL), achieving 86.24% accuracy using TensorFlow-based architectures
  • Engineered a full-stack Flask application integrating predictive ML models, clustering techniques, Granger Causality for anomaly detection, and Langchain-based LLM agents, resulting in a production-ready AI monitoring tool
  • Fine-tuned GPT-2 using Hugging Face Transformers and LoRA on domain-specific text data, boosting downstream NLP task performance by 30% compared to baseline pre-trained models

Projects

Publications

Enhancing Remaining Useful Life Prediction

A Comparative Study of Classical Machine Learning and Generative AI

Springer CCIS Series • ThinkAI'24 Conference

Period: June 2024 – Dec. 2024Supervisor: Ravi Katukam (Ravi.k@arthink.ai)

Certifications

Cloud, AI, automation, and platform credentials that back the engineering work without turning the page into a badge wall.
AmazonDec 2025

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

Issued Dec 2025/Valid until Dec 2028

ID bd40fb4be29e4f4bb03a6c01c4af72be

SalesforceDec 2025

Salesforce Certified Agentforce Specialist

Salesforce

Issued Dec 2025

ID 7211045

MicrosoftJul 2025

Microsoft Certified: Azure Fundamentals

Microsoft

Issued Jul 2025

ID 6AC6F1A92FF0E07C

Blog

Notes on applied AI, machine learning systems, and the engineering decisions behind real projects.

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✓ Available for Opportunities

Open to full-time positions, freelance projects, and collaboration opportunities in AI/ML, full-stack development, and cloud technologies.