SOFTWARE ENGINEER
Passionate about building scalable distributed backends, high-performance AI/ML systems, and intuitive software products. Specializing in transforming complex algorithmic ideas into production-grade architectures.
Experience
Deployments
(Govt. of India)
Academic Honors
RECENT PROJECTS
Autonomous Stock Trading System
Rules-based paper trading agent with automated risk management on Alpaca API
Distributed RAG System & Semantic Cache
Enterprise document-search RAG with Java gRPC caching & Hirschberg LCS change detection
1 YEAR OF INTERNSHIPS
Itransition
Intern Developer TraineeSelected through a competitive technical placement evaluation for an intensive engineering track focused on modern software development standards.
- Collaborating with industry mentors and senior engineers across bi-weekly technical seminars, architecture discussions, and structured code reviews.
- Developing production-style independent software projects, implementing robust backend logic, and following agile development practices on a direct-hire pathway.
McKinsey & Company
Forward Program TraineeSelected for McKinsey's global flagship development initiative focused on core leadership, digital literacy, and practical business problem-solving.
- Applying structured, hypothesis-driven problem-solving frameworks and data synthesis techniques to navigate complex real-world scenarios.
- Completing applied case studies covering digital communication, cognitive flexibility, and stakeholder management via the McKinsey Academy platform.
MirAI School of Technology
AI Summer Intern · Bengaluru, IndiaEngineered and shipped end-to-end cloud-native generative AI applications.
- Built and deployed 7 full-stack AI applications on Streamlit Cloud, reducing prompt-writing steps for non-technical users by 60% via a custom Magic Enhance feature.
- Chosen among top performers for capstone project evaluated on AI model integration, system design, and production deployment.
Hasprana Health Care Solutions
AI Engineer Intern · Bengaluru, IndiaEngineered healthcare data pipelines, automated patient ingestion workflows, and deployed RAG services in microservices infrastructure.
- Scaled Java and Python healthcare data ingestion pipelines to process 10,000+ daily records, cutting manual operational overhead by 30%.
- Shipped a RAG-based virtual avatar chatbot and 3 Flutter mobile features (live location, instant calling, ambulance tracking) within 2-week Agile sprints.
- Authored 40+ unit and integration tests, maintaining 95%+ test coverage across ingestion and inference modules.
B.E. — Artificial Intelligence & Machine Learning
Dayananda Sagar Academy of Technology & Management, Bengaluru
TECH STACK & CAPABILITIES
Programming Languages
AI / ML & Computer Vision
Backend & Infrastructure
Databases & Vector Stores
Systems & Architecture
Official Certifications
RESEARCH & ACHIEVEMENTS
Patent Filed: AI & IoT for Wildlife Preservation (Govt. of India)
Novel embedded multi-sensor architecture combining edge computer vision and IoT telemetry for non-invasive wildlife monitoring, intrusion mitigation, and automated threat triage.
Patent Filed: AI-Based Smart Surveillance System (Govt. of India)
Multi-camera civic surveillance framework with edge deep learning pipelines for automated incident detection and instant dispatch telemetry. Supported by institutional Maker Space grant funding.
1st Place Champion — BMS Hackathon (Outperformed 70 Teams)
Architected "Medical Report Simplifier" — a full-stack LLM + Django service parsing raw clinical diagnostics and lab results into human-readable, clinically verified patient summaries with actionable next steps.
Keynote Speaker — DSATM TEDx: "AI as Boon or Bane"
Delivered an invited keynote presentation dissecting the societal, ethical, and computational trajectories of foundation models and agentic AI before an audience of 400+ researchers, engineers, and faculty.
Smart India Hackathon 2025 — Institutional Nominee
Selected as primary institutional nominee representing DSATM out of 100+ competing engineering squads for innovative AI/ML architecture addressing national civic challenges.