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AI Engineer with 1+ years in Natural Language Processing & Full Stack Development
AI/ML Engineer and Team Lead with 1.1 years of experience across research and software development roles. Proven ability to design and implement AI/ML solutions, including real-time FER, hierarchical BERT models, and multimodal biometric authentication. Skilled in full-stack development using Node.js, Express, React, and FastAPI, with a strong background in NLP, deep learning, and robust data curation. Passionate about leveraging AI for impactful product development and maintainable software architecture.
SCTR's Pune Institute of Computer Technology
B.E. · Artificial Intelligence and Data Science
August 1, 2023 – June 1, 2027
PreSecure Solutions
Software Development Intern | Team Lead
January 1, 2026 – Present
India
SCTR's Pune Institute of Computer Technology – INFER Lab
In-House AI Research Intern
January 1, 2026 – April 1, 2026
Pune, Maharashtra, India
SlateMate (Nirmaan, IIT Madras)
AI/ML Research Intern
November 1, 2025 – January 1, 2026
India
NetraVak - Multimodal Biometric Auth
June 5, 2026 – Present
Built to solve the problem of insecure single-factor authentication in digital identity verification – unified face recognition (FaceNet), voice verification (CRNN), and Aadhaar e-KYC into a single FastAPI pipeline with real-time liveness detection (eye-blink + head-movement) to defend against spoofing and deepfake attacks. Improved match accuracy on degraded inputs by applying EDSR super-resolution to low-res Aadhaar photos pre-extraction; stored only non-reversible embeddings ensuring full privacy compliance.
View ProjectGraphMind – Knowledge Graph System
June 5, 2026 – Present
Built to address the limitation of RAG systems that retrieve text chunks but cannot reason about structure – maps entity relationships across documents, revealing hidden cross-document connections a keyword search would miss. Implemented a 2-pass LLM pipeline using DeepSeek-v3.2 (Groq) for triplet extraction + entity resolution and DeepSeek-r1-8b (chain-of-thought) for cross-document hidden link inference with confidence scoring. Enforced strict type safety across all FastAPI endpoints using Pydantic schemas for requests, LLM outputs, and graph models; BFS multi-hop traversal with Mistral-7b NL query parsing.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from multimodal biometrics to knowledge graphs and psychometric assessments, indicates a broad interest in AI applications. Their involvement in research internships at academic institutions (SCTR's INFER Lab, IIT Madras) and a startup (PreSecure Solutions) suggests adaptability to different work environments. The target role of 'AI Engineer' aligns well with their demonstrated skills in both AI/ML research and software development, particularly in building AI-driven systems. The use of various LLMs and frameworks shows a willingness to explore and integrate new technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills by addressing limitations in existing systems (e.g., RAG systems, insecure authentication). Their experience as a 'Team Lead' and in 'leading development' suggests leadership potential and an ability to drive projects. The detailed descriptions of their work indicate a structured approach to research and development, including ablation studies and rigorous data curation. Their work on privacy-compliant systems (non-reversible embeddings) shows an awareness of ethical considerations in AI.