Aspiring AI Generalist, Data Analyst, and Developer building practical solutions with Python, machine learning, data, and automation.
I am a B.Tech Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning at Narsimha Reddy Engineering College, Hyderabad, with an expected graduation year of 2027. I am interested in applied artificial intelligence, data science, intelligent systems, and research-driven product development.
My approach is ambitious but practical: learn deeply, build working projects, communicate clearly, and turn real-world problems into useful technology.
An evidence-first AI-assisted platform that reviews public GitHub repositories for recruiter readiness, documentation quality, engineering hygiene, and discoverability. It combines transparent scoring, verified evidence, saved review history, Markdown exports, secure server-side Gemini summaries, and a deterministic fallback when AI is unavailable.
A defensive cybersecurity intelligence workspace for triaging authorized network-flow CSVs and prioritizing public vulnerability records. It combines transparent anomaly signals, live CISA KEV context, focused NVD CVE lookups, evidence-led Markdown briefs, tests, and explicit analyst-safety boundaries.
A multilingual digital agriculture dashboard that brings weather, crop monitoring, irrigation guidance, market prices, buyer connections, farm records, government schemes, loans, insurance, and decision support into one farmer-oriented experience.
Recognition: Runner-up / second place at the Narsimha Reddy College Project Expo, where I led a five-member team. The repository includes the project source, implementation documentation, and award evidence.
| Project | What it demonstrates |
|---|---|
| ThreatLens — Cybersecurity Intelligence Copilot | Defensive security analytics, explainable anomaly rules, public CISA KEV and NVD integration, Streamlit product design, data provenance, safety boundaries, documentation, and CI testing. |
| Repo Radar — GitHub Reviewer Agent | AI-agent workflow design, GitHub API integration, transparent rule engines, grounded Gemini reporting, authentication, database persistence, tests, and polished full-stack product engineering. |
| Fraud Risk Intelligence | Imbalanced fraud classification, anomaly detection, threshold analysis, batch event replay, risk monitoring, and responsible-AI framing. |
| Student Performance Predictor | Classical machine learning, feature preprocessing, model comparison, evaluation metrics, Streamlit deployment, and responsible prediction boundaries. |
| Apna Kisan Connect | React-based dashboard design, farmer-focused UX, multilingual support, decision-support workflows, and team leadership. |
| AI Marketing Automation | Python-based automation concepts, generative AI, ChatGPT API concepts, content workflows, and AI-assisted business operations. |
| Area | Technologies and interests |
|---|---|
| Programming and data | Python, pandas, data analysis, Apache Spark |
| AI and machine learning | TensorFlow, Scikit-learn, machine learning, anomaly detection, generative AI, prompt engineering |
| Modern AI systems | LLMs, retrieval-augmented generation, AI-agent workflows, grounded AI reporting, explainability, responsible AI, defensive security analytics |
| Cloud and development | AWS Cloud fundamentals, React, TypeScript, Streamlit, Git, GitHub, GitHub Actions |
| Research interests | Artificial intelligence, data science, intelligent systems, applied AI, AI-driven innovation |
| Professional strengths | Problem solving, curiosity, communication, team leadership, experimentation |
- AWS Cloud Practitioner — 2024
- Google Fundamentals of Digital Marketing — 2024
- HubSpot Academy Inbound Marketing Certification — 2024
- Meta Blueprint Digital Marketing Associate — 2024
- OutSkill AI Foundations — 2025
- Certificate of Participation, 5-Day Workshop-cum-Hackathon on Artificial Intelligence and Cybersecurity, AIMER Society and Narsimha Reddy Engineering College — 25–29 July 2025
- Runner-up / second place at the Narsimha Reddy College Project Expo for Apna Kisan Connect.
- Led a five-member project team through development and presentation.
- Participated in online hackathons and coding competitions to strengthen problem solving under time constraints.
- Built and experimented with AI automation workflows, chatbots, and AI-assisted systems for practical applications.
Telugu — Native · Hindi — Fluent · English — Professional
I am open to internships, entry-level opportunities, research-oriented collaborations, and conversations about applied AI, data analysis, automation, and software development.
I am currently strengthening my foundations in data analysis, machine learning, Apache Spark, software development, and production-minded AI systems. I value honest progress, consistent project work, and opportunities where I can learn from experienced teams while contributing meaningfully.