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AI Engineer with less than a year in AI, DevOps & Cloud Platforms
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AI Engineer passionate about developing and deploying intelligent systems. Proven ability to design and implement end-to-end solutions, from AI Document Metadata Tagging Systems to Voice-Based Form Filling Agents. Experienced in cloud technologies (AWS, Docker, Kubernetes) and security best practices (OWASP ZAP, Burp Suite), with a strong foundation in Python, JavaScript, and various AI/ML frameworks. Successfully delivered projects involving LLMs, RAG, agentic AI, and CI/CD pipelines in a technical internship setting.
University Of Petroleum and Energy Studies (UPES)
B.Tech · CSE (Cloud Computing & Virtualization Technologies), Minor in DevOps
August 1, 2021 – June 30, 2025
Somerville School
Class XII
June 1, 2019 – May 31, 2021
National e-Governance Division (NeGD), MeitY
Technical Intern – Programme Management Team
July 1, 2025 – Present
New Delhi, Delhi, India
DRDO-DESIDOC
Cloud Intern
June 1, 2024 – August 1, 2024
New Delhi, Delhi, India
Agentic AI Scrutiny Framework
March 1, 2026 – Present
LangGraph-based case routing graph with modular node design for DoE and Parivesh use cases; each node handles a discrete reasoning step (intake, classification, evidence retrieval, output) enabling auditable agentic decisions. Ingestion module applies domain-aware chunking and metadata tagging before RAG indexing. Codebase on OpenForge (openforge.gov.in).
AI-Powered Document Metadata Tagging System
February 1, 2026 – Present
OCR tier selection is confidence-driven: PyMuPDF for native-text PDFs, Tesseract for scanned Hindi/English, EasyOCR as fallback below confidence threshold. Tags enforced through 6-layer post-processing filter before Elasticsearch indexing. Phase 2: PostgreSQL for job state, MinIO for document storage, JWT-scoped API access per tenant.
Voice-Based Form Filling Agent
January 1, 2026 – Present
Component pipeline: STT (AssemblyAI) → entity extractor (LLM, prompt-tuned per form schema) → field router (JSON form map) → validator → TTS confirmation. STT provider chosen after structured evaluation of Whisper, Indic Conformer, and AssemblyAI on Hindi/English code-switched audio; Azure Cognitive Services fallback handles low-confidence language detection cases.
AI-Based Onboarding Advisor for ABC-NAD
October 1, 2025 – Present
FastAPI services for document validation across 13+ types and institution/registry lookup; YOLOv8 face detection with DeepFace/ArcFace embeddings for batch photo-ID verification using cosine-similarity checks across student datasets.
Cloud Web Applications
AWS
June 1, 2026 – Present
Cloud Developing
AWS
June 1, 2026 – Present
Cloud Practitioner
AWS
June 1, 2026 – Present
Cloud Architecting
AWS
June 1, 2026 – Present
Project Management
LSBF
June 1, 2026 – Present
Technical Paper - Digital Twinning (3rd Place)
IBM ICE Day 2023
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience at government organizations (NeGD, DRDO-DESIDOC) and involvement in open-source projects (OpenForge) demonstrate an ability to work within structured environments and contribute to public-sector initiatives. The diversity of projects, from voice agents to document processing and security, indicates adaptability and a broad interest in applying AI to various domains. Their minor in DevOps and multiple AWS certifications suggest a proactive approach to skill development and a willingness to embrace modern development practices, which aligns well with a dynamic, tech-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities, a structured approach to technical challenges (e.g., multi-tier OCR, 6-layer filtering), and an ability to work independently on complex projects. Their involvement in hackathons and student chapters suggests a collaborative spirit and leadership potential. The detailed descriptions of their work at NeGD highlight a capacity for end-to-end project ownership and delivery.