AI Engineer with 2+ years in Python, Machine Learning & Fullstack Development
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Assessing your cultural and operational fit
Highly motivated Computer Science Engineering student with a strong passion for AI, full-stack development, and open-source contributions. Proven ability to engineer and optimize complex systems, including AI-powered applications, 3D data visualizations, and real-time interactive environments. Skilled in Python, JavaScript, and various AI/ML frameworks, with a focus on creating efficient, scalable, and user-centric solutions.
Dayananda Sagar University
B.Tech. · Computer Science Engineering
August 1, 2024 – June 30, 2028
CCExtractor Development
Open Source Contributor
June 1, 2024 – Present
India
CodeCity
June 1, 2025 – Present
3D GitHub repo visualizer with AI-powered codebase navigation. Engineered a tree-sitter AST pipeline to extract cyclomatic complexity & dependency graphs, procedurally generating a collision-free 3D city layout persisted in Neo4j. Built a RAG agent (LangChain + AWS Bedrock) with a custom markdown parser that intercepts LLM-returned filenames and commands the Three.js camera to fly to that building in real time. Implemented LOD-based rendering that auto-switches geometry beyond 80 connections to preserve framerates; backend gracefully degrades if Neo4j or Redis are unavailable.
View ProjectDrona.ai
June 1, 2025 – Present
AI-powered Coding Development Environment with Socratic learning. Engineered a Claude-powered Socratic lock that blocks code execution until the developer demonstrates comprehension, gamifying the learning loop. Slashed typing latency to <5ms and CPU usage by 92% via Monaco Editor event debouncing. Implemented sub-second AI context slicing and workspace persistence using IndexedDB.
ALFRED
June 1, 2025 – Present
Hybrid AI desktop automation assistant. Engineered a hybrid AI architecture combining cloud reasoning (Groq) and local inference (Ollama). Built a system automation engine using computer vision and PyAutoGUI for real-time screen interaction. Designed a PyQt6 interface with <10ms screen capture latency for real-time AI feedback.
View ProjectAfter-Hours Hub
June 1, 2025 – Present
Full-stack student dashboard. Built a full-stack dashboard for DSU scaling to 50+ active users with real-time sync and Firebase authentication. Integrated Cloudinary for optimized media storage and delivery, reducing load times significantly.
View ProjectSynapse AI
June 1, 2025 – Present
Privacy-focused modular AI assistant. Optimized local LLM performance for 14 GB RAM achieving 40%+ faster token generation via quantization. Containerized with Docker; implemented caching layer that reduces repeated processing time by 80%+.
View ProjectWinner & Team Lead – NASA Space Apps Challenge 2024 (Best Use of Data)
NASA
January 1, 2024 – Present
Top 50 Team – Build India Hackathon (Anthropic x Replit x Lightspeed)
Anthropic x Replit x Lightspeed
January 1, 2024 – Present
Team Lead – Smart India Hackathon (SIH) Internal Rounds (Top Team)
Smart India Hackathon (SIH)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's portfolio demonstrates a strong passion for AI and cutting-edge technologies, aligning well with an innovative and fast-paced AI engineering environment. Their diverse projects, including personal initiatives and hackathon participation, show a proactive and self-driven learning attitude. The open-source contribution further indicates a collaborative spirit and commitment to quality.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving, innovation, and a results-oriented approach. Their involvement in team-based hackathons and open-source contributions suggests good collaboration potential. The focus on performance optimization and robust system design indicates an operational mindset.