Ssagar Kumar

Computer Science Engineering student graduating in 2027 with hands-on experience building Agentic AI, Generative AI, NLP, and machine learning applications. Skilled in Python, TypeScript, Java, SQL, Google Gemini, Flask, React, Scikit-learn, and REST APIs. Built AI assistants, analytics platforms, and ML prediction systems through internships and projects.

Generative AI Intern at TechNGlobal (2026-07 – 2026-09)

• Engineered a full-stack Agentic AI assistant using TypeScript, React, Express, and Google Gemini with intent detection, tool routing, LLM reasoning, response generation, and persistent memory.
• Built 6 deterministic AI tools for calculations, notes, reminders, memory, system information, and image generation, grounding responses with tool outputs for reliable execution.
• Integrated multimodal image understanding/generation, few-shot prompting, domain-specific prompt directives, and telemetry across 3 runtime dimensions: intent confidence, latency, and token usage.

Data Analytics Intern at APSSDC (2026-05 – 2026-07)

• Created a Flask-based NLP social media analytics platform using Python, Pandas, and TextBlob to analyze sentiment and subjectivity from uploaded CSV datasets.
• Implemented an end-to-end analytics workflow including text cleaning, hashtag/mention extraction, keyword analysis, polarity-based sentiment classification, WordCloud visualization, and interactive Chart.js/Matplotlib dashboards.

AI & Machine Learning Intern at SmartBridge (2026-06 – 2026-08)

• Built a credit-card approval prediction pipeline on 690 records and 16 features, applying missing-value handling, categorical encoding, feature selection, and Scikit-learn modeling.
• Benchmarked 5 classification algorithms, achieving a best reported 87.92% test accuracy with AdaBoost and applying 5-fold cross-validation with GridSearchCV for hyperparameter tuning.

B.Tech in Computer Science and Engineering – Sri Venkateshwara College of Engineering (2023 – 2027)