Vinay Reddy Manda
******************@*****.*** Houston, TX +1-331-***-**** LinkedIn
SUMMARY
Detail-oriented Mechanical Engineer with around 3 years of experience specializing in machine design and manufacturing engineering. Proficient in utilizing advanced engineering principles to develop innovative solutions that enhance product performance and optimize manufacturing processes. Demonstrated expertise in CAD software, including SolidWorks and AutoCAD, alongside hands-on experience with CNC machining and 3D printing technologies. Adept at collaborating with cross-functional teams to drive efficiency and improve product quality while adhering to industry standards.
SKILLS
Mechanical Design & Analysis: SolidWorks, AutoCAD, CATIA, Creo, ANSYS, Abaqus, COMSOL, Geometric Dimensioning & Tolerancing (GD&T), Design for Manufacturing & Assembly (DFMA), Product Lifecycle Management (PLM)
Manufacturing & Process Engineering: CNC Programming & Machining, Additive Manufacturing (3D Printing), Lean Manufacturing & Six Sigma, Process Improvement & Optimization, Production Planning & Scheduling
Materials & Fabrication: Metallurgy & Material Science, Welding, Casting, and Forging Techniques, Sheet Metal Design & Fabrication, Composite Materials & Polymers
Quality Assurance & Testing: Failure Mode & Effects Analysis (FMEA), Root Cause Analysis & Corrective Actions (RCA), Statistical Process Control (SPC), Quality Management Systems (ISO 9001, ASME)
Software & Tools: MATLAB, Python, ERP Systems(SAP, Oracle), Microsoft Office Suite
CERTIFICATIONS
Six Sigma Yellow Belt Specialization – Coursera
Manufacturing Process with Autodesk Fusion 360 – Autodesk
Engineering Design Process with Autodesk Fusion 360 – Autodesk
Modeling and Design for Mechanical Engineers (with Honors) – Autodesk
WORK EXPERIENCE
Manufacturing Engineer, Equinor Jul 2023 - Present Remote, USA
Spearheaded the design and development of advanced manufacturing equipment using CAD software (SolidWorks, AutoCAD), producing detailed 3D models and engineering drawings that improved design accuracy by 30%.
Implemented lean manufacturing principles, achieving a 20% increase in production efficiency and a 15% reduction in material waste through strategic process improvements.
Collaborated effectively with cross-functional teams, including R&D, Quality Assurance, and Production, to align project objectives and timelines, ensuring successful project delivery within set deadlines.
Conducted comprehensive feasibility studies and technical analyses employing FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics) tools to validate design concepts and enhance product performance.
Established robust quality control protocols utilizing Statistical Process Control (SPC) methods to monitor production performance, ensuring compliance with ISO standards and reducing defect rates by 25%.
Managed multiple concurrent projects using Agile methodologies to prioritize tasks, streamline workflows, and deliver results on time and within budget constraints.
Championed continuous improvement initiatives through root cause analysis and corrective action plans, resulting in enhanced product reliability and a 20% increase in customer satisfaction ratings.
Manufacturing Design Engineer, Pitzo India Dec 2020 - Dec 2021 India
Designed cutting-edge CAD models for automotive spare parts (wiper blades) and protective gear (biking gloves), resulting in a 19% improvement in customer satisfaction due to enhanced functionality and aesthetics.
Developed an innovative cycling glove with an integrated LED indicator system, combining Power Mesh material, activation plates, light sensors, and LED panels for enhanced functionality and modern aesthetics.
Applied GD&T principles to define part geometry accurately for automotive spare parts like wiper blades, ensuring precise fit and function in assemblies.
Utilized Creo for precise part modeling, large assembly modeling, sheet-metal design, and piping systems in developing air-cooled packaged products, ensuring compliance with engineering standards.
Collaborated with interdisciplinary teams in manufacturing and marketing to create an innovative diagnostic device that captured over 5% of the market share from competitors like Launch, Bosch, and Autel.
Initiated CAPA processes to address recurring quality issues in cycling glove production, including LED system malfunctions, improving product reliability by implementing effective corrective actions.
Used DFMEA to anticipate potential design issues, such as durability concerns in wiper blades and LED-integrated gloves, while PFMEA was employed to identify risks during manufacturing.
Maintenance Engineer Intern, South Central Railway Apr 2019 - Oct 2019 Hyderabad, India
Analyzed inlet air restriction, lube oil pressure of the 1400 HP DEMU (Diesel Electric Multiple Unit) engine, identifying an increase from 3.4 Kg/cm2 to 6.2 Kg/cm2 and a 7 PSI pressurization of the cooling system
Implemented preventive maintenance schedules over 24 months for critical components, including engine blocks, lube-oil systems, water cooling systems, radiators, engines, and exhaust pipes, resulting in a 20% reduction in downtime due to unscheduled repairs
Utilized advanced diagnostic methods such as trend analysis of locomotive parameters, vibration analysis, ferrography, and thermography to optimize maintenance strategies and improve system reliability
Designed and developed a new cooling system for the DEMU engine, increasing efficiency by 15% and reducing maintenance costs by 12%
Collaborated with cross-functional teams, including manufacturing, quality, and procurement, to ensure timely delivery of projects and adherence to quality standards.
EDUCATION
Master of Science, University of Houston Jan 2022 – May 2023 Houston, USA
Aerospace Engineering
Bachelor of Technology, Brij Mohan Lall Munjal University Aug 2017 – July 2021 Gurgaon, India
Mechanical Engineering
Projects
Optimum cutting conditions to get lower cutting forces in turning of mild steel, aluminum materials
Conducted rigorous testing and analysis of cutting forces on a high-precision lathe, utilizing a computerized lathe tool dynamometer.
Obtained precise measurements and recorded data for mild steel at depths ranging from 0.4mm to 1.6mm, and for aluminum at depths ranging from 0.5mm to 2.0mm and selecting angles within the range of 450 to 900 degrees.
Comprehensive analysis revealed a direct correlation between the increase in depth and feed and the corresponding increase in power required.
Implemented this finding to determine the minimum power requirement for turning mild steel or aluminum at the desired feed and depth of cut.
Design and Analysis of Tractor Trolley Chassis
Created 3D chassis models with CAD software, utilizing structural steel and incorporating C and I-cross sections measuring 200x100x7mm.
Analyzed the models using ANSYS workbench to perform static and dynamic analyses, including modal analysis which revealed that the C-section had a frequency of 50.69Hz while the I-section had a frequency of 72.83Hz.
Conducted harmonic analysis on the chassis models, applying a load of 70KN on the upper surface. The analysis showed that deformation along the Z-axis was greater in the C section at 0.382mm compared to the I-section at 0.18mm, indicating that the I-section was more resistant to resonance phenomenon.
PLC Program to detect burnt peanuts and remove them from conveyer belt
Implemented a system using 8 light detecting circuits to effectively operate all 8 blowers, resulting in improved quality control by accurately identifying and rejecting products that did not meet the desired color threshold.
Developed a comprehensive ladder logic program based on inputs such as start, stop, timers, and outputs to efficiently manage the main source and light source functions. By utilizing a time bound of 100ms, increased precision was achieved in removing burnt peanuts from the conveyor belt.