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Software Development Engineer with less than a year in AI/ML & Automation
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An aspiring Software Development Engineer with 11 months of experience in AI/ML, backend development, and quality assurance. Proficient in Python, Java, and C++, with hands-on experience in frameworks like FastAPI, TensorFlow, and tools like WebdriverIO and AWS. Demonstrated ability to improve test coverage, optimize data pipelines, and develop AI-driven solutions across various projects and internships, including impactful contributions to career guidance platforms and hate speech detection models.
Dwarkadas J Sanghvi College of Engineering
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
BrowserStack
SDET Intern
January 1, 2026 – June 1, 2026
India
Senkusha Solutions LLP
Backend & AI Developer Intern
June 1, 2025 – August 1, 2025
India
Symphony Fintech
Software Development Intern
June 1, 2024 – July 1, 2024
India
Enhanced Research Paper Retrieval Using LLM Chatbot
May 1, 2025 – May 1, 2025
Developed a RAG-based Q&A system integrating Gemini 1.5 Pro for contextually relevant natural language answers; enabled semantic search over academic corpora using Pinecone vector database.
Hate Speech Detection NLP Model
January 1, 2025 – February 1, 2025
Engineered a sequential deep learning model for hate speech classification using a modular, pipeline-based architecture, achieving 93.24% accuracy; deployed on Google Cloud Storage with a FastAPI backend and established a CI/CD pipeline.
PathScout - AI Career Guidance Platform
August 1, 2024 – December 1, 2024
Built a job recommendation platform with a 3D office simulation, aptitude assessments, and AI-driven interview scoring; applied K-Means clustering to predict top 3 career paths, yielding a 40% improvement in recommendation relevance.
Power BI
Forage
June 1, 2026 – Present
Machine Learning Algorithms
Stanford University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from NLP to RAG systems and career guidance platforms, indicate a broad interest in applying technology to various domains. Their internship experiences in SDET, Backend & AI Development, and Software Development show adaptability and a willingness to explore different facets of software engineering. The involvement in extracurricular activities like mentoring and hackathons suggests a proactive, team-oriented individual who contributes to the community, aligning well with a collaborative work culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing data pipelines and handling API failures. Their involvement in CI/CD and test automation suggests an operational mindset focused on efficiency and reliability. Participation in sprint release cycles indicates an understanding of agile development processes. The academic projects show initiative and a collaborative spirit, especially in co-authoring research papers.