Feb 2023 – Present · 3 yrs 2 mos · The British International College, Kathmandu, Bāgmatī, Nepal · On-site

• ● Teach “Data Analytics & Databases Module” as elective course to graduate MSc IT students in detailed theory as well as Conducted lab experiments on Advanced Level SQL, Big Data (NoSQL: Hadoop, HDFS), Python Programming ML Libraries & SQLite, advanced statistical tests (regression, z, t, ANOVA model, Chi squared etc.), Time Series (Components, ACF, PACF, EMA, ARIMA Model), Machine Learning: Supervised: Classification (SVM) and Unsupervised: Clustering: K-means (elbow method), Hierarchical clustering-Agglomerative, Dimension reduction (PCA), Deep Learning: RNN etc.
• ● Evaluate coursework Assignments (50% SQL+ 50% Data Analytics) and examine Final Open exam papers in coordination with university course module Leader.

Jun 2022 – May 2025 · 2 yrs 11 mos · Thapathali, Kathmandu · On-site

• ✍ Teach elective courses “Natural Language Processing and Machine Translation” to 17 MSIISE (M.Sc. in Informatics and Intelligent Systems Engineering) students in detailed theory as well as hands-on sessions using TensorFlow, PyTorch, Keras, LSTM, GRU, LLMs/Generative AI etc. Course covers ● Morphology, Computational Phonology, and Speech Processing, ● Language Models (including N-Gram, Huge Language Models, LSTM and GRU, RNN), ● Parsing (CFG/PCFG, CKY,CCG, Top-Down/Bottom-Up,graph/time based), Sequence Labeling(including EM Algorithm), and Parts-of-Speech Tagging (Viterbi Algorithm,Transformation-Based), ● Information Retrieval, Question Answering, and Conversational Agents, and ● Discourse Processing and Machine Translation (including Neural MT, Encoder-Decoder Model, Encoder-Decoder with RNN, Encoder-Decoder with Transformers, Beam Searching, Attention Technique etc).
• ✍Teach “Cloud and Edge Computing” as elective course to graduate MSIISE students in detailed theory as well as a practical/simulation sessions on major topics like ● Industrial Cloud Platforms (AWS, GCP, Azure, Aneka and other latest platforms), ● Cloud and Edge Characteristics, Delivery & Deployment Models, ● Hierarchy of Edge and Fog Computing, ● Cloud and Edge Enabling Technologies, ● Cloud & Edge Computing Architectures, Cloud Programming Models, ● FAR-Edge Reference, Edge Computing Reference, Consortium, EdgeX Foundry, Map-Reduce, ●Mobile Cloud Computing, Data Offloading, and Resource Allocation, and ● Security Issues in Cloud & Edge Computing, Service Quality Metrics, Security Threats, Security Attacks, Cloud Security Mechanisms, Hardened Virtual Server Images, Infrastructure Security, Data Privacy, Data Life Cycle, Device Privacy, Security for Content-Centric Edge Computing and Caching, Cloud Trust Establishment, Trust Evaluation, Service Quality Metrics.
• ✍ Evaluate coursework Assignments including recent research paper presentations, course projects and examine Final exam papers.

Feb 2021 – Present · 5 yrs 2 mos · Leeds Beckett University UK affiliated, Kathmandu, Bāgmatī, Nepal · On-site

• ● Teach “Database Systems and Approaches” as elective course to graduate MSc IT students in detailed theory as well as a complete case study implementation (as part I) with Database SDLC and Methodology: Data Modeling – Conceptual Design , Logical Design(Normalization) and Physical Design considerations, DB Implementation: Oracle Apex Environment: DDL and DML, Data Analysis and Reporting (SQL), Application Builder (Forms and Reports).
• ● As part II, teach NoSQL and Big Data, Data Maintenance and Security, Testing: Data Integrity and Data Quality; Ethics, current Trends etc.
• ● So far, taught and evaluated altogether six batch students coursework Assignments with remarkable results having implemented separate complete case study as police force of England & Wales, Cars4U, Rest-assured Care Foundation.

Nov 2020 – Apr 2021 · 5 mos · Dhapakhel, Lalitpur

• ✍Taught “Big Data Technologies” as elective course to 48 undergraduate (VIII Semester) Computer Engineering students yearly in detailed theory as well as a practical sessions on major topics: HDFS, Map-reduce, Hbase, Elastic Search, Additional Hadoop ecosystem demonstration: 1. HIVE,Kafka,Flume,Sqoop,Spark,Scala 2. System deployment (of selected big data tools) in on-premise (HDP/Cloudera) or in cloud (AWS) 3. Scripts for data collection, preprocessing, normalization, enrichment, storage in HDFS/Kafka.

Jan 2019 – Aug 2019 · 7 mos · Lalitpur District, Nepal

• Supervised a Project entitled
• "Handwritten Line Text Recognition with Deep Learning in TensorFlow"
• Used Convolution Recurrent Neural Network with deep 7 layer of CNN and 2 layer of BLSTM to recognize handwritten line text without pre-segmentation into characters. Can also able to convert the one paragraph of handwritten text into digital text.

May 2018 – Apr 2023 · 4 yrs 11 mos · Lalitpur District, Nepal

• ✍ Taught “Data Mining and Data warehousing” as elective course to 48 undergraduate Computer Engineering students yearly in detailed theory and practical sessions on major topics: Data Pre-processing, Classification (Decision Tree, Rule based, Nearest Neighbor, Bayesian, ANN ), Association Analysis, Cluster Analysis, Anomaly/Fraud Detection, Advanced Applications (Mining Object & Multimedia, Web-mining, Time Series data mining etc.)
• ✍ Taught “Data Mining and Data warehousing” as elective course to 48 undergraduate Computer Engineering students yearly in detailed theory and practical sessions on major topics: HDFS, Map-reduce, Hbase, Elastic Search, Additional Hadoop ecosystem demonstration: 1. HIVE,Kafka,Flume,Sqoop,Spark 2. System deployment (of selected big data tools) in on-premise (HDP/Cloudera) or in cloud (AWS) 3. Scripts for data collection, preprocessing, normalization, enrichment, storage in HDFS/Kafka.
• ✍ Taught “Telecommunication” as a core Subject to less 12 undergraduate Electronics & Communications Engineering students once in detailed theory sessions on major topics: Evolution, Switching Classification, Transmission Media, Signal Multiplexing, Digital Switching(STS & TST etc.), Signaling System, Telephone Traffic, Telecommunication regulation, Data Communication (IP switching, Routing & Flow Control, ISDN, DSL ).
• ✍ Taught “Image Processing and Pattern Recognition (IPPR)” as elective course to 15 undergraduate (VIII Semester) Computer Engineering students once detailed theory as well as a practical sessions on major topics: Digital Image Representation, Sampling & quantization, spatial to frequency domain transformation (Fourier, Cosine, Sine, Hadamard and Haar), Imag enhancement & restoration,(pont operations, histogram modeling, spatial operations), Image Coding & Compression, Pattern recognition and Classification, feature extraction, Edge & Line Detection, Segmentation, Application Neural Network, Hopfield nets, Hamming Net in Image processing.

May 2018 – Oct 2018 · 5 mos · Lalitpur District, Nepal · On-site

• ✍Taught “Advanced Database” as elective course to 14 graduate MSCSKE (M.Sc. in Computer System and Knowledge Engineering) students in detailed theory as well as a lab sessions on major topics: RDBMS-ER diagram, SQL & OODBMS , OQL, ORDBMS, ODMG ,SQL3, distributed & parallel DB, Semantic Web, XML Database , XQuery, Spatial DB: GIS & Remote Sensing and Other Recent Trends.
• ✍ Evaluated coursework Assignments including recent research paper Presentations and examined Final exam papers.

Jan 2018 – Present · 8 yrs 3 mos · Kathmandu, Bāgmatī, Nepal · On-site

• ●Research, recommend & enforce on Policies: Act, Procedure, and Standards/Bylaw to the Government of Nepal (GoN) & NTA based on international standards and best practices.
• ●Developing cybersecurity strategies, Combat Financial frauds, coordination with LEA's
• ●Member Secretary of Cybersecurity Task Force (NTA-CERT): Investigate Cyber incidents.
• ●Initiated and worked on the development of cybersecurity bylaw-2000 for the telecom sector. Consequently, the Global Cybersecurity index improved by 15 positions (rising from 109th to 94th position in 2021).
• ●Initiated and worked on a cybersecurity awareness booklet with contents that we have regularly published in public advisories for 27 weeks.
• ●Trained senior/junior Nepal Police officers yearly on topics such as "Data Security Standards & SOP within the Organization."
• ●Knowledge Engineer for Software/Automation System development, such as office automation, Online Monitoring and Tracking System (OMTS), GIS-Based Telecommunications Infrastructure MIS etc.
• ●Allocate the budget, prepare ToR/Spec for consultation projects, and handle public procurement of tools/software. Evaluate the bids and work on project management/execution after the contract as per NTA's decisions/rules/regulations.
• ● Monitored Quality of Service (QoS), Frequency Usage, Telecom Service Delivery, Importing Bandwidth Utilization, and corresponding Network Architecture Design, etc.
• ●Performed Spectrum Management activities i.e. formulated Spectrum policy, conducted research to identify frequencies for UWB, IoT & M2M communications, and oversaw the Spectrum Auction for the 1800 MHz Band.
• ● Served as the Member Secretary of the National Spectrum Management Forum, with responsibilities that involved designing the spectrum roadmap, identifying Spectrum bands for implementing new technology in the telecom sector, addressing spectrum interference issues, and preparing Auction Plans. Also, prepared for SATRC, APT, and ITU-R related activities.

Oct 2017 – Dec 2017 · 2 mos · Lalitpur District, Nepal

• ● Taught C and Fortran Programming to 96 undergraduate Computer and Civil Engineering students. Conducted lab experiments on every major topics for each groups of 48 students .
• ● Managed to establish labs for Digital Logic, Microprocessor, Electrical Machines & Circuit Theory, acquired teachers and staff, and managed classes and schedules.

Jul 2017 – Oct 2017 · 3 mos

• ● Taught “Data Mining” and “Artificial Intelligence” for 48 computer engineering students. Conducted Lab sessions related to both subjects.
• ● Supervised a team of 4 students for the execution of Major Project entitled “Hand Written Digit Recognition Using Distributed Deep Belief Network”.

Apr 2012 – Jun 2017 · 5 yrs 2 mos

• ● During this period, had the opportunity to teach various courses, including C, C++, Data Mining, Artificial Intelligence, Computer Graphics, Numerical Methods, Database, Computer Network, Microprocessor, Signal Analysis/Processing, Wireless/Mobile Communication, and Electromagnetics, based on college vacancies and student reviews/demands. Excelled even when assigned to teach two different courses simultaneously in each semester. Through dedicated teaching and providing conceptual lectures and tutorial sessions, the final exam passing rate and university grading in touph courses such as programming (C & C++, Microprocessor) and mathematical subjects (Signal Analysis/Processing & Electromagnetics) improved by at least 25% in each difficult subject.
• ● In addition for research work, Supervised projects having team of 4 students in each team: Network based Device Control, android based device control, Detection of Plant Disease using Image Processing & Neural Network, Human's gesture recognition and others yearly two projects assigned by colleges as per experience, dedication and interests.
• ● As the appointed Project Coordinator, managed 192 electronics and computer undergraduate students annually for their project title selection and approval, assisted in documentation and formatting, conducted project orientation programs, and organized mid-term and final defenses for evaluation process. Assigned faculty members as project supervisors by matching their interests, conducted meetings, collected project progress, and scheduled interactions accordingly. Additionally, liaised with facilitation for students' hardware and lab resources during project execution. Through optimal performance, established a culture of selecting, accepting, and executing new ideas and recent research-based projects (e.g., Deep Learning-based projects). As a result, student recruitment for jobs, as well as opportunities for higher education in well-ranked universities, improved accordingly.

Nov 2011 – Mar 2012 · 4 mos

• ● Taught C Programming to 96 first-semester undergraduate Computer & Electronics students and conducted lab experiments for them in separate lab sessions with 24 students at a time.
• ● Taught Computer Organization & Architecture (COA) to 96 undergraduate Computer and Electronics students. Conducted VHDL lab experiments for them in separate lab sessions with 24 students at a time.
• ● Trained 48 students in 8051 Microcontroller Interfacing and Programming to assist in their project development.

Nov 2010 – Oct 2011 · 11 mos

• ● Taught C programming to 96 first-semester undergraduate engineering students (48 in Civil and 48 in Computer) and conducted lab experiments in separate sessions with 24 students at a time.
• ● Taught Microprocessor course (8085 and 8086) to 96 fourth-semester undergraduate engineering students (48 in Electrical and 48 in Computer) and conducted lab experiments in separate sessions with 24 students at a time.
• ● Taught Instrumentation (Microcontroller Interfacing) course to 12 undergraduate Electronics students in the same fall session.
• ● Supervised two projects titled 'Bluetooth Controlled Home Appliances' and 'Vehicle Tracking System' for two separate teams (4 students in each team) of eighth-semester undergraduate Electronics students."

Mar 2013 – Dec 2017 · 4 yrs 9 mos · Lalitpur District, Nepal · On-site

• ● Managed and directed staff in conducting training for professional courses and coaching engineering courses.
• ● Collaborated with facilitators to support enrolled students and course instructors.
• ● Coached multiple courses, including Programming (C, C++, Java with Spring, Python, PHP/JSP, JavaScript), Databases (SQL & NoSQL), Computer Networks (CCNA), Microprocessors (8085 & 8086), and others.

Nov 2012 – Oct 2013 · 11 mos · Kupondole, Lalitpur

• ● Taught Object Oriented Programming (C++) to 96 undergraduate Computer engineering students in spring and Numerical Methods to 48 Electrical engineering students in fall Session.

Nov 2011 – Oct 2016 · 4 yrs 11 mos · Balkumari, Lalitpur

• ● Taught Digital Communications, Artificial Neural Network, Artificial Intelligence and Image Processing and Pattern Recognition courses to approximately 300 undergraduate Computer/Electronics/IT engineering students, in accordance with college requirements (i.e., faculty vacancies), with an annual cohort of 60 students. Conducted lab experiments twice in a week on Digital Image Processing and Artificial Intelligence, accommodating 24 students at a time.
• ● Additionally, supervised projects titled “paddy disease detection using Back-Propagation Algorithm” and “AI based Robot control” for two separate teams, each consisting of 4 students, in the undergraduate Computer and Electronics engineering programs.

Jan 2011 – Jan 2016 · 5 yrs · Tutepani, ChapagaunDobato, Nepal · On-site

• ● Taught Digital Communications, Data Communications, Computer Graphics, Intelligent Systems, and Image Processing and Pattern Recognition courses to approximately 300 undergraduate Computer/Electronics/IT engineering students, in accordance with college requirements (i.e., faculty vacancies), with an annual cohort of 60 students. Conducted lab experiments twice in a week on Digital Image Processing, accommodating 24 students at a time.
• ● Additionally, supervised projects titled 'Face Recognition System' and 'Bluetooth-based Home Appliance Control System' for two separate teams, each consisting of 4 students, in the undergraduate Computer and Electronics engineering programs.