About • Tech Stack • Experience • Projects • Achievements • Connect

I'm a Machine Learning Engineer & Security Researcher based in Dehradun, India, specializing in RAG, LLM workflows, production-grade Python systems, and securing digital infrastructure[cite: 1].

• 🧠 Deep Learning & GenAI: Fine-tuning foundation models, designing secure RAG pipelines, and tracing multi-modal prompt chains[cite: 1].
• 🔐 Cybersecurity: Exploring application security, vulnerability assessments, and ethical hacking in Kali Linux environments[cite: 1].
• 📚 AI-Sastra: Founder and Project Lead architecting responsive platform infrastructure to democratize machine learning[cite: 1].
• ⚡ Fact: Can navigate Kali Linux environments significantly faster than a local grocery store[cite: 1].

Current Focus: Scaling AI-Sastra, optimizing LLM outputs via advanced RAG, and engineering reliable end-to-end intelligent systems[cite: 1].

June 2026 – Present | Pune District, Maharashtra, India

• Data Infrastructure & Optimization: Utilizing NumPy and Pandas to build optimized pipelines for cleaning, structuring, and manipulating high-dimensional datasets[cite: 1].
• Predictive Modeling: Designing, tuning, and evaluating foundational machine learning algorithms using Scikit-learn for classification and regression tasks[cite: 1].
• Statistical Visualization & Production Execution: Translating analytical data into visual patterns and transitioning theoretical ML models into scalable, end-to-end production pipelines[cite: 1].

Stack Python NumPy Pandas Scikit-Learn Data Pipelines

June 2026 – June 2026 | Nasik, Maharashtra, India[cite: 1]

• Worked directly under the Founder, specializing in multi-modal prompt engineering (text + images) to solve complex business tasks[cite: 1].
• Leveraged LangSmith to trace, log, and debug prompt chains, enhancing LLM model reliability, reducing latency, and managing cost constraints[cite: 1].
• Created reusable prompt templates that standardized recurring internal workflows and translated executive business needs into prompt architecture[cite: 1].

Stack LangSmith LLM Workflows Multi-Modal Prompting Generative AI

June 2026 – June 2026 | Online

• Served as the primary strategic liaison between Persevex and Uttaranchal University to drive brand awareness and promotional campaigns.
• Connected students with career-advancing internships/training programs and gathered campus feedback data to optimize outreach strategies.

May 2026 – May 2026 | Lucknow, Uttar Pradesh, India

• Applied web development practices to build responsive front-end user interfaces and enhance UI components across real-world application workflows.

Stack HTML5 CSS3 JavaScript React

August 2025 – May 2026 | Dehradun, Uttarakhand, India

• Managed student-faculty communications, led administrative class initiatives, and resolved academic operations for a cohort of engineering students.

• 🚀 BrainBytes Challenge (Unstop) — Ranked 192 out of 4,000+ participants worldwide[cite: 1].
• 🎨 Code CrackDown (Amity University x Unstop) — Recognized for UI/UX project submission.
• 💻 HaXplore Event (CodeFest'26, IIT BHU) — Team Leader & Best Performance Winner for deploying an Operations Tracking System under pressure[cite: 1].
• 🦈 Pull Shark — Recognized Open Source Contributor on GitHub.

• 🤖 Introduction to Large Language Models — Coursera / Google[cite: 1]
• 🐍 Python Essentials 1 & Advanced Python — Cisco / Professional Certifications[cite: 1]
• 🤖 SOAR AI to Acquire — Microsoft (2026)
• 🌐 Web Designing and Development — NSDC (2026)
• 🔍 Software Test Engineer — nasscom (2026)
• 🛸 Drone Software Technician — nasscom (2026)

// Quick hook for engineering collaborations
if (project.requiresAI || project.requiresSecurityAudit) {
    contact("rudradititsingh@gmail.com")
        .then(() => buildProductionSystem())
        .catch(() => starRepositories());
}