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Software Engineer with less than a year in Backend, Infrastructure, and AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend and Infrastructure Engineer with hands-on experience designing, operating, and scaling production-grade cloud systems and LLM-driven applications. Demonstrated ownership of backend services, cost-efficient infrastructure, and reliable AI-powered features across Python, Node.js, AWS, and Kubernetes.
Rajiv Gandhi Institute of Petroleum Technology (RGIPT)
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
WorkIndia
SDE Intern
February 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
Gush Work
SDE Intern
June 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
DSA Learn Platform
June 28, 2026 – Present
Engineered a secure, interactive DSA learning platform with isolated multi-language code execution. Enabled runtime support for Python, C/C++, JavaScript, and Go. Integrated an AI-based assistant to explain solutions and reinforce learning concepts.
QuillGPT
June 28, 2026 – Present
Implemented a GPT-style decoder architecture using PyTorch. Trained and evaluated multiple language models on curated datasets. Built custom serialization logic for reliable model saving and loading.
Autonomous LLM Support Agent (Chat + Voice)
June 28, 2026 – Present
Built a low-latency LLM-powered support system handling both chat and voice interactions. Applied retrieval grounding and confidence-based filtering to reduce hallucinated responses. Measured and optimized performance using latency, accuracy, escalation rate, and hallucination metrics.
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in cutting-edge technologies like AI/ML and full-stack development, aligning well with innovative and technically driven environments. Their internship experiences at WorkIndia and Gush Work demonstrate adaptability to different company sizes and problem domains. The breadth of skills across programming, backend, databases, ML/AI, and DevOps suggests a versatile individual who can contribute to various aspects of a software engineering team. The academic background and project diversity indicate a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by resolving 100+ production incidents and optimizing system performance. Their involvement in on-call rotations indicates reliability and a proactive approach to operational challenges. The project descriptions suggest an ability to work on complex, multi-faceted systems, implying good project management and execution capabilities. The focus on metrics (latency, accuracy, cost reduction) indicates a data-driven approach.