AI Engineer with 4+ years in NLP, LLMs, and Multimodal Systems
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AI/ML Engineer with 3+ years of production experience in NLP, LLMs, content understanding, and search-relevant ML systems. Proven track record deploying NLP and deep learning models (BERT, Gemini, RAG, CNN/RNN) that process and rank large-scale unstructured data. Experienced with multimodal video/audio understanding through AR/VR research and CV projects. Passionate about combining information retrieval with modern ML to build intelligent, user-centric search experiences.
New York University
M.S. · Computer Engineering
September 1, 2025 – May 1, 2027
Dr. A.P.J Abdul Kalam Technology University
B.Tech · Computer Science and Engineering
August 1, 2017 – August 1, 2021
NYU Courant
Teaching Assistant
January 1, 2026 – Present
New York City, New York, United States
NYU System & AI Lab (Prof. Sai Qian Zhang)
AR/VR Research Assistant
September 1, 2025 – December 1, 2025
New York City, New York, United States
Coforge, India
Senior AI Engineer
September 1, 2024 – August 1, 2025
India
mavQ, India
Associate Machine Learning Engineer
February 1, 2022 – September 1, 2024
India
Reinforced Weak-to-Strong Teaching
June 1, 2026 – June 1, 2026
Developed an RL-based fine-tuning framework (GRPO) where a Qwen2.5-3B teacher generates structured hints to guide a weaker student model achieving 72.5% HumanEval pass@1 (2.2× baseline), outperforming standard SFT by 11%; directly applicable to LLM-based search ranking and re-ranking.
Multi-Class Text Classification
June 1, 2026 – June 1, 2026
Built a BERT-based 5-class text classification system with custom class-weighting on imbalanced data, achieving 80% F1 Score directly relevant to query understanding, content categorization, and search relevance in large-scale search engines.
Gmail Chatbot - Local RAG System
June 1, 2026 – June 1, 2026
Engineered a secure multi-user local RAG agent for Gmail history using pgvector for high-performance vector search and Ollama local LLMs showcasing end-to-end hybrid retrieval and semantic search pipeline design.
Image Quality Enhancement (DIES)
June 1, 2026 – June 1, 2026
Custom U-Net + Median Filter outperforming GANs and autoencoders on PSNR/SSIM for license-plate super-resolution showcasing CV and video/image understanding expertise applicable to TikTok's video understanding pipeline.
AWS Certified Cloud Practitioner
Unknown
June 1, 2026 – Present
Prompt Engineering for ChatGPT
Unknown
June 1, 2026 – Present
EDA for Machine Learning
Unknown
June 1, 2026 – Present
Advanced SQL
Unknown
June 1, 2026 – Present
Star Contributor Award at mavQ (model performance & research excellence)
mavQ
June 1, 2026 – Present
Qualcomm Hackathon Finalist (Top 30/100+)
Qualcomm
June 1, 2026 – Present
Top 3% among 1M+ candidates in GGSIPU Exam
GGSIPU
June 1, 2026 – Present
Image Enhancement using DIES
IEEE Transactions on Intelligent Transportation Systems
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research to production-grade enterprise solutions, indicates adaptability and a broad interest in AI applications. Their involvement in hackathons and awards suggests a proactive and competitive spirit. The blend of academic rigor (NYU M.S., research assistant) and industry experience (Coforge, mavQ) aligns well with a culture that values both theoretical depth and practical application. The focus on search-relevant ML systems and multimodal understanding aligns with common industry needs.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and research. Their experience as a Teaching Assistant suggests good communication and mentorship abilities. Leading SonarQube adoption indicates a focus on code quality and maintainability. The project descriptions highlight a results-oriented approach with quantifiable achievements (e.g., 100% client satisfaction, 15% uplift, $1M+ revenue).