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AI Engineer with 1+ years in NLP & Computer Vision
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with experience in NLP, computer vision, and LLM-based systems. Skilled in building end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment, with focus on RAG systems and multi-modal applications.
Vishwakarma Government Engineering College
Bachelor in Engineering · Computer Science Engineering
July 1, 2022 – June 1, 2026
Shree Damubhai Shukla Higher Secondery School
Senior Secondary
May 1, 2021 – March 1, 2022
Bacancy Technology
AI/ML Intern
January 1, 2026 – Present
India
Avinyakriti
AI/ML Developer & Full Stack Contributor
December 1, 2024 – December 1, 2025
India
Smart Image Finder
December 1, 2025 – Present
Built a semantic image retrieval system using FAISS, supporting 1,000+ images with fast similarity search. Designed a multimodal pipeline combining image embeddings and OCR text extraction for improved search relevance. Optimized inference with ONNX and CUDA, achieving 6x speedup over CPU baseline. Ensured user privacy with fully local processing and zero external API calls.
MediQuery (RAG Chatbot)
December 1, 2025 – Present
Developed a Retrieval-Augmented Generation (RAG) pipeline for medical question answering using LangChain and Pinecone. Processed a large medical corpus into 5.8K+ embeddings, enabling efficient semantic retrieval at scale. Improved response relevance through top-k retrieval and context injection, reducing hallucinated outputs. Evaluated system performance using qualitative response accuracy and retrieval consistency across queries.
Shipping Label Detection and Extraction System
December 1, 2025 – Present
Built an end-to-end pipeline using OpenCV preprocessing and YOLOv11 for automated shipping label detection. Achieved 98.7% label localization accuracy using YOLOv11 across diverse parcel images. Integrated moondream2 VLM for direct on-device entity extraction from cropped label images, achieving 90%+ accuracy on key shipping fields. Reduced overall processing time by ~35% by replacing OCR+NER two-step with a single VLM inference call.
ClimaCast
December 1, 2025 – Present
Built a time-series forecasting system using LSTM models trained on 150K+ data points (2000-2024). Engineered temporal and seasonal features to improve model performance across multiple forecast horizons. Achieved MAE of 0.50 (hourly) and 0.66-0.88 (daily) on validation datasets. Deployed an interactive Streamlit dashboard with dynamic forecasting and visualization.
HackerRank: 5-star rating in Problem Solving and Python.
HackerRank
June 1, 2026 – Present
LeetCode: Ranked in the top 45% globally.
LeetCode
June 1, 2026 – Present
Hacktoberfest 2025: Contributed 6+ PRs to open-source projects, including feature enhancements and bug fixes, improving code quality and functionality.
Unknown
January 1, 2025 – Present
Finalist | Smart India Hackathon (2024): Built a system for ISRO to optimize INSAT satellite data using Django, React, and AWS.
Smart India Hackathon
January 1, 2024 – Present
Finalist | Maverick Effect AI Challenge (2024): Developed deep learning models for area classification, deforestation prediction, and AQI forecasting.
Maverick Effect AI Challenge
January 1, 2024 – Present
Finalist | Odoo x Amalthea Hackathon (2024): Built a healthcare platform with AI chatbot, report analysis, and stress assessment (Top 50).
Odoo x Amalthea Hackathon
January 1, 2024 – Present
Finalist | New India Vibrant Hackathon (2023): Contributed as a full stack developer and advanced to finals.
New India Vibrant Hackathon
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and hackathon participation, demonstrates initiative, a strong learning curve, and a passion for AI/ML. Their experience as a full-stack contributor also shows versatility. The focus on practical applications and optimization suggests a results-oriented mindset. The current internship and previous full-time role indicate a commitment to professional development in the AI/ML space.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to take projects from conception to deployment, including optimization and evaluation. Their involvement in hackathons suggests good problem-solving under pressure and potentially strong teamwork skills. The focus on end-to-end solutions and performance optimization aligns well with operational requirements.