Computer Science Engineer building practical AI/ML systems, production-ready web applications, and research-driven solutions. Computer Science Engineer building practical AI/ML systems, production-ready web applications, and research-driven solutions.
Standardized enterprise evaluations, verified credentials, and institutional research records.
Standardized national cognitive assessment evaluating numerical, verbal, and logical reasoning.
Core software engineering evaluation covering systems architecture, data structures, and algorithms.
Hybrid FAISS & ChromaDB vector search paired with Groq Llama 3.3 70B & Gemini. Autonomous arXiv intent routing, recursive semantic chunking, and strict page-level source citations to eliminate hallucination.
End-to-end 6-stage automated pipeline: MongoDB Atlas ingestion, schema validation, S3 model benchmark evaluation, Docker containerization, and automated GitHub Actions deployment to AWS EC2 runner.
Full-stack customer sentiment engine powered by Google Gemini NLP. Automates sentiment scoring, thematic cluster detection, and actionable visual analytics for product decision-makers.
Multi-agent resume evaluation pipeline analyzing candidate profiles against complex job descriptions using Google Gemini Vision, producing match percentages, missing skill vectors, and bullet recommendations.
Explore system components, verified engineering trade-offs, quantifiable benchmarks, and direct source repositories across all 10 systems.
A rigorous suite of frameworks, languages, cloud tools, and databases I deploy to construct robust systems.
High-concurrency servers, clean API contracts, and low-level runtime efficiency.
Schema design, analytical query optimization, and structured & unstructured stores.
Container isolation, automated CI/CD runners, and scalable cloud execution.
My professional journey and academic background — spanning software engineering at TCS, AI/ML research at IIIT Hyderabad, and foundational engineering education.
Completed intensive Graduate Engineer Trainee (GET-IT) training program focused on software engineering fundamentals, full-stack concepts, and core IT competencies.
Conducted research on Voice Activity Detection (VAD) algorithms and speech processing to enhance AI-assisted video summarization.
Specialized in core CSE subjects including Data Structures & Algorithms, Operating Systems, DBMS, and Computer Networks, along with foundational expertise in Machine Learning and Deep Learning.
Open to technical discussions, software architecture inquiries, and engineering collaboration. Feel free to reach out below.