Headline

AI-focused Software Engineer skilled in Python, Fast API, RAG, React

About

B.Tech graduate in Artificial Intelligence from Aligarh Muslim University with a strong foundation in machine learning, deep learning, and full-stack AI development. Experienced in developing end-to-end AI solutions that address practical challenges across agriculture, cybersecurity, and career guidance domains. Core Expertise: Machine Learning & Deep Learning: Proficient in TensorFlow, Keras, PyTorch, and OpenCV with hands-on experience in CNN architectures, achieving 97% accuracy in agricultural disease detection systems AI Application Development: Skilled in building conversational AI agents, document Q&A systems, and recommendation engines using LangChain, Cohere LLM, and modern ML frameworks Full-Stack Deployment: Experienced in deploying AI models through Streamlit, FastAPI, and Flask, creating user-friendly interfaces that bridge complex AI technology with practical applications. Recent Highlights: ✓ Developed a potato leaf disease detection system with 97% accuracy, deployed for real-time agricultural diagnostics ✓ Built multiple AI-powered applications including career advisory chatbots, document Q&A agents, and phishing detection systems ✓ Demonstrated expertise in computer vision, natural language processing, and cybersecurity through diverse project portfolio Currently seeking opportunities to apply my technical skills in machine learning engineering, AI development, or data science roles where I can contribute to innovative solutions that make technology accessible and impactful. Let's connect to discuss how AI can transform industries and solve real-world problems!

Location

Bengaluru

AI stack

gemini

langchain

ollama

openai

Work experience

Junior Python Developer at Marketing Boutique, Apr 2026 - May 2026 · 2 mos, Surat, Gujarat, India, 1. Production-Grade RAG Architecture: Implemented a Two-Stage Retrieval pipeline using PostgreSQL (pgvector) for high-dimensional semantic search and FlashRank for precise local reranking, ensuring 95%+ context relevance. 2. Proactive Analysis Engine: Built an autonomous sync worker that proactively ingests transcripts from the Fathom API, performs Map-Reduce summarization via Claude, and caches insights into Redis for sub-second retrieval. 3. Cost-Optimized LLM Strategy: Developed a custom Python wrapper for the Claude Code CLI, enabling the system to utilize premium AI accounts via the command line, effectively eliminating API token costs for the end-user. 4. Workflow Automation: Integrated the ClickUp API to automatically generate tasks and blockers from meeting insights, bridging the gap between verbal discussion and project execution. 5. Infrastructure-as-Code: Orchestrated the entire stack (Postgres, Redis, Cloudflare Tunnel, and Python Agents) using Docker, making the system fully portable and scalable.

Software Engineer Intern at Tricon Infotech, Oct 2025 - Mar 2026 · 6 mos, Bengaluru, • Designed and developed an AI system for doctor-style symptom questioning using rule-guided conversational flows. • Utilized RAG architecture to retrieve verified medical content and generate safe, explanatory responses. • Implemented backend APIs in FastAPI, achieving a 66.67% improvement in response latency.

AI/ML Intern at Labmentix Private Limited, Aug 2025 - Feb 2026 · 7 mos, Remote

Artificial Intelligence Intern at Edunet Foundation, Jan 2025 - Feb 2025 · 2 mos, Delhi, India, -Developed Agricultural Disease Detection System: Engineered a machine learning-based solution for potato leaf disease identification, leveraging computer vision techniques to achieve 97% accuracy in disease classification, directly addressing critical agricultural challenges and crop yield optimization. -End-to-End Model Development & Deployment: Led the complete project lifecycle from data preprocessing and model training to production deployment, utilizing Streamlit framework to create an intuitive web application that enables farmers and agricultural professionals to instantly diagnose plant diseases through image upload. -Delivered Scalable Agricultural Technology Solution: Successfully deployed a user-friendly diagnostic tool that bridges the gap between advanced AI technology and practical agricultural applications, demonstrating proficiency in both machine learning implementation and full-stack development while contributing to sustainable farming practices.

AI Intern at CodeSpectra, Jan 2024 - Feb 2024 · 2 mos, Bengaluru, Karnataka, India, -Developed an AI-powered Movie Recommender System utilizing machine learning algorithms and collaborative filtering techniques to analyze user preferences and deliver personalized content suggestions, enhancing user engagement and recommendation accuracy. -Engineered a Computer Vision-based Vehicle Detection System implementing advanced image processing and deep learning models to identify and classify vehicles in real-time, demonstrating proficiency in object detection frameworks and neural network architectures. -Gained comprehensive hands-on experience with cutting-edge computer vision technologies and recommendation system methodologies, including data preprocessing, model training, performance optimization, and deployment of AI solutions in production environments.

Education

Bachelor of Technology - BTech, Artificial Intelligence, Aligarh muslim university

Intermediate, PCM, St.Mary's School