Sreeram Vipparla

Software Engineer

India1 yr 1 mo experience

Most Likely To Switch

Key Highlights

Expert in scalable backend systems and ML integration.
Proven track record in delivering impactful technical projects.
Continuous learner with a strong interest in emerging technologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Machine Learning and Full-Stack Development.

Contact

vipparlasreeram2003@hotmail.com LinkedIn

Skills

Core Skills

Backend System DesignMachine LearningFull-stack Development

Other Skills

AdaptersAirflowAlgorithmsAmazon Web Services (AWS)AnacondaAnalytical SkillsAngularBack-End Web DevelopmentBigQueryC (Programming Language)Cascading Style Sheets (CSS)ClickHouseData Pipeline DevelopmentData StructuresDocker

About

Software Development Engineer (SDE-1) at Times Internet Limited with expertise in developing scalable backend systems and innovative technology solutions. Proficient in C, C++, Python, Java, and JavaScript, with a strong foundation in Data Structures, Algorithms, and Backend System Design. Experienced in Web Development, Machine Learning, and Deep Learning, with a proven track record of leading and delivering impactful technical projects. A continuous learner with a strong interest in emerging technologies and industry trends. Beyond work, a Black Belt in Karate and actively engaged in Cricket, Public Speaking, and Community Activities.

Experience

Times internet

2 roles

Software Development Engineer (SDE-1)

Jul 2025 – Present · 8 mos · Noida, Uttar Pradesh, India · On-site

Led backend development with ML integration, optimizing data pipelines using BigQuery, ClickHouse, and Airflow, reducing daily ingestion time by ~20% and enabling real-time analytics.
Built a robust article processing system with Python, Pandas, and spaCy for automated content cleaning, information extraction, and structural enhancement.
Engineered a personalized news recommendation engine using LLMs, RAG, and FAISS, tailored for users aged 18–22, boosting engagement.
Improved article quality through NLP-based summarization (spaCy, NLTK) and managed scalable workflows using Docker, Kubernetes, and Git.
Tech Stack: Python, BigQuery, ClickHouse, Airflow, Java, Kubernetes, spaCy, Pandas, NLTK, LLMs, RAG, FAISS, Docker, Git

PythonBigQueryClickHouseAirflowJavaKubernetes+10

SDE Intern

Jan 2025 – Jun 2025 · 5 mos · Noida, Uttar Pradesh, India · On-site

Developed a data pipeline for the NewsPoint app to clean articles, extract relevant information, and
refactor content for improved structure and readability.
Developing a news personalization pipeline integrated with a recommendation engine to tailor content for different demographics, primarily focusing on the 18–22 age group, using Retrieval-Augmented Generation (RAGs).

Data Pipeline DevelopmentRAGBackend System Design

Ihub-data, iiit hyderabad

AI Research Intern

May 2024 – Aug 2024 · 3 mos · Hyderabad, Telangana, India · On-site

Developed a novel approach for improving AI safety through the integration of Low-Rank Adaptation (LoRA) adapters, optimizing both primary task performance and safety moderation.
Introduced and implemented a new method for aligning large language models (LLMs) using quantized adapters, contributing to enhanced model safety and efficiency.
Conducted comprehensive ablation studies on Llama 2-7B, with plans to expand research to additional models.
Benchmarked the proposed adapter approach against established methods, including DPO, RLHF, and dataset augmentation, demonstrating its effectiveness in maintaining core model functionalities.
Utilized Python and relevant libraries (Hugging Face, Transformers, Adapters, PEFT) to support research and development activities.

PythonHugging FaceTransformersAdaptersPEFTMachine Learning

Amazon

Mentee - Amazon ML Summer School '23

Sep 2023 – Nov 2023 · 2 mos · Hybrid

Selected as one of 3000 participants nationwide for an exclusive Machine Learning program conducted by Amazon. Attended an intensive two-month program, gaining in-depth insights into key machine learning techniques, including supervised learning, reinforcement learning, and causal learning.
Key Achievements:
Successfully completed the Amazon Machine Learning program, enhancing proficiency in cutting-edge machine learning methodologies.
Acquired practical knowledge in supervised learning, reinforcement learning, and causal learning, contributing to a comprehensive understanding of machine learning techniques.
Engaged in hands-on applications of machine learning concepts, translating theoretical knowledge into practical skills.
Demonstrated adaptability and commitment through active participation in a rigorous and competitive program.

Iosd

Full-stack Developer

Jan 2022 – Sep 2023 · 1 yr 8 mos · Delhi, India · On-site

Responsible for the design, maintenance, and development of event-focused websites at DevComm using React, ensuring a visually appealing and seamless user experience.
Collaborated effectively with Web and Tech Teams to align design and functionality, achieving a consistent and engaging online presence.
Successfully engineered portals utilizing the MEAN stack (MongoDB, Express.js, React.js, Node.js), enhancing user experience and streamlining processes.
Key Contributions:
Led the creation and continuous improvement of websites for DevComm events, showcasing advanced skills in React.
Integrated cross-functional team inputs to create a cohesive online presence, blending design with functionality.
Developed and deployed portals with the MEAN stack, significantly improving user engagement and operational efficiency.

ReactMEAN stackMongoDBExpress.jsNode.jsFull-Stack Development