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Software Engineer with 1+ years in AI/ML & Fullstack Development
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Highly motivated and results-driven Associate Software Development Engineer with 1.1 years of experience specializing in Artificial Intelligence, Machine Learning, and Generative AI. Proven ability to architect complex AI platforms, optimize RAG pipelines, and build production-grade LLMs from scratch. Eager to leverage strong programming skills and expertise in frameworks like PyTorch and TensorFlow to contribute to innovative software solutions.
Kalasalingam University
Bachelors in Computer Science & Engineering · Computer Science & Engineering (AI-ML specialisation)
August 1, 2021 – June 30, 2025
Diebold Nixdorf
Associate Software Development Engineer
May 1, 2025 – Present
India
Diebold Nixdorf
Gen-AI Intern
September 1, 2024 – May 1, 2025
India
Reliance Jio
Gen-AI Intern
May 1, 2024 – August 1, 2024
India
MulticoreWare Inc.
ML Research Intern
August 1, 2022 – June 1, 2023
India
Deepfake Image Detection - ResNet/EfficientNet Pipeline
April 1, 2025 – April 1, 2025
Tackled deepfake detection by building an image classifier to distinguish real vs fake images; addressed ethical and security risks of synthetic media. Implemented CNN-based models (ResNet50/EfficientNetB0), trained on 179k+ labeled images with TensorFlow; achieved 88% validation accuracy and robust confusion-matrix diagnostics. Built full pipeline: data ingestion (Kaggle dataset), preprocessing, training, evaluation (ROC, confusion matrix), visualization, and model packaging (H5 export). Optimized training with transfer learning, dropout regularization, and Adam optimizer; validated performance across train/val/test splits.
Startup OS - AI-driven founder support platform
March 1, 2025 – March 1, 2025
Addressed the “young founders” problem—idea evaluation and lack of core team (CEO/CTO/legal/R&D)—by building Startup OS. Implemented multi-agent collaboration (CEO, CTO, Co-founder, Legal, R&D) with a smart router that routes founder ideas to the most relevant agent. Built on LangGraph's agentic framework; utilized NVIDIA NeMo 70B LLM for high-quality, role-specific reasoning and responses. Enabled end-to-end ideation support where agents work collaboratively and return consolidated, actionable guidance to founders.
Content Moderation - DL-powered Chrome Extension
December 1, 2023 – December 1, 2023
Designed a DL pipeline for adult-content moderation using CNN classifiers (MobileNetV3, YOLOv8-NSFW) with transfer learning. Implemented image/frame preprocessing (OpenCV), thresholding, and ensemble scoring (classifier + OCR) to improve precision/recall. Deployed a cross-platform Chrome extension integrating the model via a lightweight inference service; achieved real-time blurring and safe-browsing UX with 94% accuracy. Optimized latency with quantization and batchless inference; instrumented metrics for accuracy and false-positive control.
Tuning Genre Frequency Recognition
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-driven founder support to autonomous vehicle perception and content moderation, indicates a broad interest in applying AI across various domains. Their experience in both large corporations (Diebold Nixdorf, Reliance Jio) and research internships (MulticoreWare Inc.) suggests adaptability to different organizational cultures. The emphasis on building production-grade systems and optimizing for real-world performance aligns well with a results-oriented culture. The candidate's continuous learning and application of cutting-edge AI technologies demonstrate a strong drive for innovation and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through tackling complex AI challenges (e.g., deepfake detection, content moderation, founder support). Their experience with multi-agent systems and collaborative project descriptions suggests an ability to work within team structures. The focus on optimizing performance and building reusable components indicates a practical, efficiency-oriented approach. The candidate's involvement in hackathons and diverse projects suggests a proactive and innovative mindset.