Results-driven AI/ML Engineer and Data Architect with 9+ years of experience designing and scaling intelligent backend systems, optimizing data pipelines, and deploying state-of-the-art machine learning models. Expertise in developing high-performance backend solutions using Node.js, orchestrating complex ETL pipelines (DBT, Airbyte, Snowflake, Databricks), and implementing AI-driven predictive analytics.
Proficient in end-to-end ML workflows, from feature engineering to deployment, leveraging AWS SageMaker, Azure ML Studio, and Kubernetes for scalable model serving. Skilled in fine-tuning and deploying LLMs (OpenAI GPT, open-source models, seq2seq base models, Deberta) for conversational AI, Document understanding, and NLP applications.
As an experienced Senior Software Engineer with a strong background in the information technology industry, I bring over 6+ years of expertise to the table. Throughout my career, I have successfully managed teams and delivered outstanding projects, showcasing my skills in Python, JavaScript, MongoDB, PostgresSQL, MySQL, AWS, Azure, machine learning, deep learning, and Large Language Models. Additionally, my proficiency extends to conducting research in NLP and computer vision, as well as working with hardware such as Raspberry Pi, Arduino, sensors, and NVIDIA Jetson.
I hold an M.Sc. in Computer Application and Information Technology and am passionate about using my knowledge and experience to mentor and guide my team to success. With my leadership abilities and technical expertise, I continuously strive to drive innovation and exceed project goals.
Beyond the world of technology, I have a deep love for sports, especially hockey. I have had the privilege of representing my country in national-level tournaments, which has taught me the value of teamwork, discipline, and determination. I believe these qualities translate seamlessly into my professional career, enabling me to approach challenges with a focused and driven mindset.
• Leading development of intelligent data pipelines using DBT, Snowflake, and
Airbyte for scalable ML workflows.
• Designing and deploying document intelligence models (e.g., DeBERTa, LiLT)
for supplier prediction, integrated with SageMaker and MLFlow.
• Improved end-to-end ML pipeline performance, reducing model training time
by 25% through optimizations.
• Built RAG-powered LLM systems for conversational AI and document
understanding using LangChain, Pinecone, and OpenAI.
• Architected AI products across HR, procurement, and finance domains using
AWS Lambda and Azure ML.
• Led backend and AI infrastructure development, reducing latency by 40%
through optimizations.
• Oversaw transition of legacy systems to Node.js microservices with Redis,
MongoDB, and PostgreSQL.
• Managed team delivering AI-enhanced automation tools, improving delivery
timelines by 35%.
Own the entire Node-js back-end for our iOS and Android app, including but not limited to the matching algorithm. Build new features, bug fix and suggest projects that will improve product and infrastructure. Make technical and product decisions based on road-map autonomously. Mentor junior engineers. Assist with Dev-Ops as needed, help lead the research for the Dev-Ops team if needed .
My day-to-day work is to create node-Js software code that will assist and integrate into an ecosystem of in-house enterprise software. Automate user interface testing using natural language processing, selenium, puppeteer and chrome Devtool. Convert existing monolithic applications into micro-services using agile methodology. Build a Machine Learning model to distinguishes fraud and legitimate web traffic.
AtomByte is Internet of Things based startup. Where I led the effort to build data analysis and data visualization end to end system for manufacture companies.
Completed internship in NLP and Information Extraction as a junior researcher. Where I encounter many NLP tasks like named entity recognition, POS, text parsing, information extraction from text and sentiment analysis.
Completed MSc(CA & IT) with Machine Learning and Computer Vision. CGPA: 8.10
Completed BSc(CA & IT). CGPA: 7.54
Completed 12th in Commerce with Accountancy, Business Studies, and Economics.
Professional Work & Achievements
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