Simranjeet Singh
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 5+ years in Generative AI, Backend Systems & Cloud Infrastructure.
Machine Learning Engineer and Software Engineer with 5+ years of experience building GenAI systems, AI-powered automation platforms, scalable backend services, and security-focused cloud applications. Skilled in Python, Django, FastAPI, Docker, Kubernetes, AWS, PostgreSQL, Neo4j, and LLM orchestration frameworks. Delivered 40%+ infrastructure cost reduction, increased QA coverage from 8% to 100%, and optimized low-latency real-time AI systems using event-driven architectures. Focused on scalable AI infrastructure, backend engineering, and applied machine learning systems.
Netaji Subhas University of Technology (formerly NSIT)
Bachelor's Degree · Electronics And Communications
August 1, 2017 – June 30, 2021
Adeptmind
Machine Learning Engineer
January 1, 2023 – Present
India
Anakin (YC S21)
Software Engineer
July 1, 2022 – January 1, 2023
India
Sudoviz
Software Engineer
May 1, 2021 – May 1, 2022
India
Devanagari Information Retrieval System for ASHA healthcare workers
May 1, 2020 – April 1, 2021
Developed a Devanagari Information Retrieval System for ASHA healthcare workers using PyTorch, Flask, Docker, and AWS to improve healthcare accessibility in rural India. Implemented Siamese Neural Networks with transfer learning techniques to optimize semantic retrieval accuracy for Hindi healthcare queries. Built and deployed deep learning inference services inside Docker containers on AWS infrastructure with secure cloud-to-edge communication support. Engineered GSM-based SMS relay automation on Linux edge devices, reducing messaging costs by nearly 700x compared to traditional SMS providers. Published research paper titled "Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India" at ClinicalNLP 2023.
HackDay 2020 Winner
IGDTUW TechnoLiterati
January 1, 2020 – Present
Microsoft AI Challenge 2018 Finalist
Microsoft
January 1, 2018 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare information retrieval to e-commerce price matching and application security, indicates adaptability and a broad interest in applying AI/ML solutions across different domains. Their involvement in academic research and hackathons suggests a continuous learning mindset and a passion for innovation. The experience with both startups (Anakin, Sudoviz) and established companies (Adeptmind) shows versatility in different work environments. The target role of AI Engineer aligns well with their current and past experiences, particularly in GenAI and backend systems.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing infrastructure and improving system efficiency. Their experience in agile environments (Jira, Trello) and collaboration across distributed teams suggests good operational fit. The ability to automate deployments and manage CI/CD workflows indicates a proactive and efficient approach to development.