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Software Engineer with less than a year in Machine Learning & Cloud Platforms
AI-driven Software Engineer with 10 months of experience, specializing in developing enterprise applications, conversational AI, and predictive analytics platforms. Proficient in scalable backend architectures using REST APIs and microservices, with a strong foundation in deep learning, machine learning pipelines, and cloud deployments. Demonstrated ability in performance optimization, database tuning, and building real-time analytics systems. Active in competitive programming and a published author, combining technical expertise with a proactive approach to innovation.
Chhatrapati Shahu Ji Maharaj University
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Super AI Polaris Pvt. Ltd.
Software Engineer
December 1, 2025 – Present
New Delhi, Delhi, India
Super AI Polaris Pvt. Ltd.
Software Engineer Intern
May 1, 2025 – July 1, 2025
New Delhi, Delhi, India
Lung Cancer Diagnosis Using X Ray and CT Scan Images
August 1, 2025 – April 1, 2026
Built deep learning models for medical image classification supporting early detection of lung cancer. Applied preprocessing, normalization, and feature engineering to improve model performance and accuracy. Designed end-to-end machine learning pipeline including data processing, model training, evaluation, and prediction. Focused on model interpretability and real-world healthcare applicability.
View ProjectStudent Metacafe Education Platform
January 1, 2025 – May 1, 2025
Built full-stack video sharing platform with authentication, search functionality, and real-time engagement features. Implemented scalable frontend architecture using reusable components and state management. Integrated backend services and APIs for seamless user experience.
View ProjectRAG-Powered AI Study Assistant
September 1, 2024 – December 1, 2024
Designed and deployed a RAG-based AI study assistant using LlamaIndex, Weaviate, and FAISS to provide context-aware, source-cited responses from technical datasets. Engineered a scalable data ingestion pipeline that processes and embeds course documentation, reducing LLM hallucinations by leveraging open-source models like Mistral and Qwen. Developed a real-time, responsive user interface using Streamlit and Gradio, enabling intuitive student interaction with complex technical course materials.
View ProjectExplainable AI in Government Decision Making Systems
Unknown
December 1, 2025 – Present
Lung Cancer Diagnosis Using X Ray and CT Scan Images
Unknown
August 1, 2025 – Present
Dream Do or Die
Unknown
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering medical imaging, educational platforms, and AI assistants, showcasing a broad interest in applying technology to different domains. The competitive programming background and hackathon participation suggest a drive for continuous learning and innovation, which aligns well with a dynamic tech culture. The current role as a Software Engineer at an AI-focused company further strengthens the alignment with a technically driven environment. However, the limited professional experience means exposure to diverse team structures and corporate cultures might be less developed.
Soft Skills & Operational Fit
The candidate's project descriptions and competitive programming achievements suggest strong problem-solving abilities and a proactive learning attitude. Participation in hackathons and leadership roles in contests indicate teamwork and organizational skills. The focus on real-world applicability in projects (e.g., healthcare, education) shows an understanding of practical impact. However, the current experience level (internship transitioning to full-time, both recent) means operational maturity in a senior role might require further development.