AI Engineer with less than a year in AI, ML & Full-Stack Development
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Highly motivated Machine Learning Engineer Intern with 0.8 years of hands-on experience in AI and full-stack development. Proven ability to design and implement robust data pipelines, build high-precision AI models using deep learning frameworks, and optimize API performance. Expertise spans across conversational AI, computer vision, and autonomous agent systems, utilizing technologies like PyTorch, TensorFlow, AWS, and Docker to deliver impactful solutions.
Delhi Technological University, Delhi
B.Tech · Engineering Physics
August 1, 2024 – June 30, 2028
RPVV Kishan Ganj
CBSE Class XII
June 1, 2021 – May 31, 2023
RPVV Kishan Ganj
CBSE Class X
June 1, 2019 – May 31, 2021
Bitrix Innovations
Software Engineering Intern
November 1, 2025 – April 1, 2026
India
Indian Army
Machine Learning Engineer Intern
June 1, 2025 – July 1, 2025
India
Fashion Recommendation System
June 1, 2025 – June 1, 2026
• Fine-tuned a CLIP-based multimodal encoder on the 10,000+ image VTON-HD dataset using Triplet Loss to effectively align complex visual and textual representation spaces. • Operated a highly optimized FAISS approximate nearest-neighbour vector index, enabling sub-millisecond candidate retrieval for top-50 fashion items even under heavy query loads. • Designed a robust cross-encoder reranker pipeline achieving a validation nDCG@5 of 0.89, demonstrating strong zero-shot generalization to entirely unseen clothing styles.
Autonomous Finance Browser
June 1, 2025 – June 1, 2026
• Initiated Playwright-driven exception handling, developing a self-healing feedback loop that slashed manual debugging and improved plan success by 40%. • Integrated NVIDIA NeMo Guardrails & OPA to enforce strict, deterministic compliance policies, successfully intercepting and blocking 100% of unauthorized transaction actions prior to execution. • Orchestrated a self-healing financial agent that accelerated multi-step transaction lifecycles by 50%, reducing average processing time and ensuring robust operational stability.
PCOS/PCOD Care Companion
June 1, 2025 – June 1, 2026
• Proposed a cross-platform mobile health application using React Native and Expo, engineering a low-latency voice interface driven by native WebRTC audio streaming pipelines. • Compiled and serviced a Gemma 4 E2B multimodal LLM directly on the mobile edge using the LiteRT-LM framework, achieving sub-second token decoding via local GPU/NPU acceleration. • Embedded an on-device TensorFlow Lite computer vision module to perform real-time meal classification alongside a local context-grounding layer to mitigate model hallucinations.
Machine Learning Specialization
Unknown
June 1, 2026 – Present
Convolutional Neural Networks
Unknown
June 1, 2026 – Present
Sequential Models
Unknown
June 1, 2026 – Present
Siamese Networks
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a diverse range of applications for AI, from fashion recommendations and finance automation to military asset detection and mobile health. This breadth of interest and application, combined with leadership in an AI/ML society, suggests a proactive and collaborative individual who is eager to explore different facets of AI engineering. The target role of AI Engineer aligns well with their demonstrated technical depth and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight initiative, problem-solving (e.g., self-healing feedback loops, overcoming low-resolution image challenges), and optimization skills (e.g., slashing API expenditure, accelerating transaction lifecycles). Their role as Co-Head of an AI/ML society suggests leadership and mentorship capabilities. The detailed descriptions indicate a structured approach to problem-solving and a focus on measurable outcomes.