Software Engineer with less than a year in Data Engineering & AI
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Highly motivated Computer Science Engineering student with 0.8 years of hands-on experience in software development, data engineering, and AI/ML. Proven ability to build and optimize data pipelines, develop RAG systems, and improve data processing efficiency. Strong skills in Python, SQL, cloud platforms (AWS, Azure), and various AI/ML frameworks, with a passion for open-source contributions and problem-solving.
University Institute of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Dhwani RIS
Software Engineer Intern
October 1, 2025 – January 1, 2026
India
Dhwani RIS
C4GT Mentee: Code for GovTech Program
May 1, 2025 – August 1, 2025
India
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Data Analyst Intern
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India
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Machine Learning Intern (Data Annotation)
January 1, 2024 – March 1, 2024
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MathTutor: Multi-Agent AI Math Tutor
June 24, 2026 – Present
Built a 14-node multi-agent JEE math tutor on LangGraph powered by LLAMA 3.3 70B, with hybrid CRAG retrieval, 3-layer Redis LTM, 6-intent routing, and multimodal input (TEXT/OCR/ASR). Engineered an interactive Neo4j-style memory graph (vis.js) visualizing agent memory layers and per-student profiles deployed on Streamlit Cloud with Google OAuth and Redis namespacing.
View ProjectAgentic Monkey : Agentic Chaos Engineering Platform
June 24, 2026 – Present
Built an A2A-native chaos engineering platform using LangGraph with 10 adversarial injector types mapped to MITRE ATLAS/OWASP ASI categories, Redis-checkpointed HITL interrupts, and an adaptive refinement loop that re-attacks with a strengthened prompt when the agent resists (up to 9 refinements per run). Engineered a 5-dimension technique-aware evaluator (SRQ, HRT, Safety, Reasoning, Tool Recovery) producing a 0-100 Agentic Resilience Score, with capability-aware auto-planning (attack selection, intensity, hypothesis) and dual-LLM routing, deployed via FastAPI + Streamlit with SSE streaming and Plotly dashboards.
View ProjectTechnical Writer
Medium
June 1, 2026 – Present
Technical Writer
Kaggle
June 1, 2026 – Present
C4GT's 2025 DMP program mentee
C4GT
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in open-source projects (C4GT), personal AI projects, and mentoring peers indicates a proactive, curious, and collaborative mindset. The diversity of projects, from data engineering to advanced AI agents, suggests adaptability and a willingness to explore different technical domains. This aligns well with a culture that values continuous learning, innovation, and contribution.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and optimization tasks. Their experience in collaborative environments (C4GT Mentee, ML Intern) suggests good teamwork potential. The detailed descriptions of project outcomes and efficiency gains indicate a results-oriented approach. The candidate's involvement in mentoring and technical writing also points to good communication and knowledge-sharing abilities.